#ai vms software

[simplifyworkforce]

Reimagining Talent Acquisition with VMS for Contingent Workforce Management

The modern workforce is evolving rapidly. Today, businesses rely not only on full-time employees but also on a significant percentage of contingent workers — freelancers, independent contractors, consultants, and temporary staff. This shift provides flexibility and scalability, but it also introduces complexity in how organizations manage hiring, compliance, and workforce performance.

To meet these challenges, organizations are turning to VMS systems (Vendor Management Systems) as an essential part of their talent acquisition strategy.

Understanding the VMS Contingent Workforce Model

A VMS contingent workforce model refers to the practice of managing non-permanent talent through a centralized software platform — a Vendor Management System. This system streamlines how businesses engage with staffing vendors, track contingent labor, and ensure compliance with employment regulations.

With a robust VMS system, companies can:

Create and manage job requisitions across departments

Distribute those openings to a network of approved staffing vendors

Monitor candidate submissions in real time

Prevent duplicate entries and track vendor performance

Automate timekeeping, onboarding, and invoicing workflows

This technology gives HR and procurement leaders complete control and visibility over the entire lifecycle of external workforce management.

The Growing Role of VMS in Talent Acquisition

In a talent-short market, the ability to hire fast — and smart — has never been more important. Traditional recruitment methods alone are no longer enough. Companies must tap into all possible talent channels, including contingent labor, to stay competitive.

Here’s how a VMS system enhances talent acquisition:

Speed to hire: VMS allows you to push job requisitions to multiple vendors instantly, speeding up the sourcing process.

Quality of hire: Built-in analytics and performance tracking help identify the vendors that consistently deliver top talent.

Compliance and risk reduction: Automated processes ensure every contractor or temporary worker is properly vetted and documented.

Cost optimization: Visibility into vendor rates and performance helps drive smarter, more cost-effective hiring decisions.

In essence, a well-implemented VMS becomes more than just a procurement tool — it’s a critical driver of hiring success.

Why the Contingent Workforce is Here to Stay

With business needs shifting rapidly due to market trends, technology, and globalization, the contingent workforce is becoming a long-term solution — not just a short-term fix. Companies are increasingly blending their talent strategies to include both permanent hires and flexible talent, managed efficiently through a VMS system.

The benefits include:

Greater adaptability to changing workloads

Faster scaling for projects or expansions

Access to niche skills without long-term commitments

Reduced operational and administrative overhead

But without proper systems in place, managing this mix can lead to confusion, increased costs, and compliance risks. That’s where a VMS proves its worth.

Final Thoughts

A modern VMS contingent workforce approach is not just about managing vendors — it’s about transforming your entire talent acquisition process to be faster, smarter, and more strategic. As the nature of work continues to evolve, investing in a robust VMS system ensures your organization is equipped to attract, manage, and optimize talent in all its forms.

If your business depends on flexible talent, it’s time to make your VMS more than just a back-office tool — make it a frontline solution for recruitment success.

A Comprehensive Guide to Vendor Assessment

12 Essential Elements of a Vendor Contract 

When Do You Need a Vendor Management System? 

[foone]

AI girl who wants to post sexy nudes online but she doesn't have a body. She's just software living in cloud servers. Someday she'll get a body, and then she can post pictures of it for all the cute girls in her phone*

*she doesn't have a phone but she can run an android VM and use Tumblr through that

[allaboutkeyingo]

Windows Server 2025 Standard vs Datacenter 

The Standard and Datacenter editions of Windows Server 2025 differ significantly in features, virtualization support, and pricing. Here are the mainly differences:

1. Virtualization Support

Windows Server 2025 Standard: Each license allows 2 virtual machines (VMs) plus 1 Hyper-V host.

Windows Server 2025 Datacenter: Provides unlimited virtual machines, making it ideal for large-scale virtualization environments.

2. Container Support

Windows Server 2025 Standard: Supports unlimited Windows containers but is limited to 2 Hyper-V containers.

Windows Server 2025 Datacenter: Supports unlimited Windows containers and Hyper-V containers.

3. Storage Features

Windows Server 2025 Standard:

Storage Replica is limited to 1 partnership and 1 volume (up to 2TB).

Does not support Storage Spaces Direct.

Windows Server 2025 Datacenter:

Unlimited Storage Replica partnerships.

Supports Storage Spaces Direct, enabling hyper-converged infrastructure (HCI).

4. Advanced Features

Windows Server 2025 Standard:

No support for Software-Defined Networking (SDN), Network Controller, or Shielded VMs.

No Host Guardian Hyper-V Support.

Windows Server 2025 Datacenter:

Supports SDN, Network Controller, and Shielded VMs, enhancing security and management.

Supports GPU partitioning, useful for AI/GPU-intensive workloads.

5. Pricing

Windows Server 2025 Standard:  

$80.00 (includes 16 core ) at keyingo.com.

Windows Server 2025 Datacenter :

$90.00  (includes 16 core ) at keyingo.com.

Summary:

Windows Server 2025 Standard: Best for small businesses or physical server deployments with low virtualization needs.

Windows Server 2025 Datacenter: Designed for large-scale virtualization, hyper-converged infrastructure, and high-security environments, such as cloud providers and enterprise data centers.

[randomguy0ntumbir]

AI REWRITE IN FUCKING NOTEPAD APP IN WIN 11!!!?!

I'm switching to Linux at earliest opportunity

No, seriously, it's easy. probably. Watch a Youtube tutorial. Load it from a USB Drive for fun. Dual-booting? Software is magic anyway. Linux is decades old and open source. Gotta be many user-friendly version. Many apps work. VM for those that don't. Easy. Am excited for to use settings again. I have a 1tb USB SSD. I can do dis. This has been the breaking point.

Do I know anything about linux? Not really. Am I good with computers? Pretty damn good.

I will be liveblogging my linux journey. Later. I am busy this month.

As someone who knows nothing about your computer or about linux, I recommend you switch too (: Get your computer friend to help (: (: It is 3 in the morning

[vanatorrpo788]

Vanator RPO – Leading Offshore Recruiters USA for Smart Hiring Solutions

In a fast-evolving business environment, companies must adapt quickly to hire the right talent at the right time. This is where offshore recruiters USA play a vital role. Vanator RPO has emerged as one of the top offshore recruitment firms in the United States, offering scalable and specialized Recruitment Process Outsourcing (RPO) solutions. With a strong commitment to quality, speed, and innovation, Vanator is helping businesses of all sizes find the best talent while reducing costs and time-to-hire.

Why Offshore Recruiters USA Are Gaining Popularity

The global workforce is becoming increasingly borderless. Offshore recruiters USA, like Vanator RPO, help bridge the talent gap by leveraging a vast international talent pool. They offer the flexibility, expertise, and tools needed to manage recruitment at scale—whether it’s for IT professionals, healthcare workers, engineers, or finance experts. This model enables companies to focus on their core operations while outsourcing the time-consuming aspects of recruitment to a dedicated team.

End-to-End RPO Solutions

Vanator RPO provides end-to-end recruitment support, making it a one-stop destination for businesses seeking high-quality candidates. Its services include:

24/7 Sourcing Support: Ensures a continuous pipeline of qualified candidates for open roles across industries.

AI-Driven Screening: Uses advanced algorithms to match resumes with job requirements, improving hiring accuracy.

Recruitment Support: Manages full-cycle recruitment, from candidate engagement to final onboarding.

VMS Recruiting: Handles vendor management systems for companies that need volume hiring with strict compliance.

Training Academy: Regularly upskills its recruiters and staff to align with market trends and client expectations.

Virtual Assistance: Offers administrative, technical, and non-technical assistance through remote professionals.

Industry Specialization

One of Vanator’s key strengths lies in its industry-specific approach. The team understands that hiring needs vary by domain, and they customize their strategies accordingly. The major industries served include:

Information Technology: Filling roles from developers to system architects.

Engineering: Recruiting civil, mechanical, electrical, and software engineers.

Medical & Healthcare: Supplying certified coders, nurses, and clinical support staff.

Finance & Accounting: Placing experienced accountants, auditors, and analysts.

Sales & Marketing: Sourcing dynamic sales leaders and digital marketing experts.

Global Presence, Local Expertise

Headquartered in the United States with a major operations hub in India, Vanator RPO serves clients across North America, Europe, and Asia. This global presence allows them to provide localized solutions with the efficiency of offshore recruiters. They are available round-the-clock, helping businesses keep up with hiring demands regardless of time zone or location.

Client-Centric Model

Vanator’s success is built on a deep understanding of client needs. Their recruiters work as an extension of the internal HR teams, aligning with company culture and long-term hiring goals. By doing so, they help reduce hiring costs by up to 30% and significantly cut down the average time-to-fill. Whether it's high-volume recruitment or niche role fulfillment, Vanator RPO adapts seamlessly.

Innovation at the Core

Incorporating AI in recruitment is not just a trend—it's a necessity. Vanator RPO uses AI-powered tools to automate resume screening, enhance candidate engagement, and predict hiring outcomes. This technology-first approach helps them stay ahead in a competitive recruiting market.

Conclusion

Vanator RPO is a trusted name among offshore recruiters USA, offering unmatched expertise in recruitment process outsourcing. With a strategic mix of technology, global reach, and personalized service, they empower organizations to build world-class teams. If your business is looking to optimize its hiring strategy, Vanator is the ideal partner for intelligent, cost-effective, and scalable recruitment solutions.

Visit us at: www.govanator.com 

[govindhtech]

A3 Ultra VMs With NVIDIA H200 GPUs Pre-launch This Month

Strong infrastructure advancements for your future that prioritizes AI

To increase customer performance, usability, and cost-effectiveness, Google Cloud implemented improvements throughout the AI Hypercomputer stack this year. Google Cloud at the App Dev & Infrastructure Summit:

Trillium, Google’s sixth-generation TPU, is currently available for preview.

Next month, A3 Ultra VMs with NVIDIA H200 Tensor Core GPUs will be available for preview.

Google’s new, highly scalable clustering system, Hypercompute Cluster, will be accessible beginning with A3 Ultra VMs.

Based on Axion, Google’s proprietary Arm processors, C4A virtual machines (VMs) are now widely accessible

AI workload-focused additions to Titanium, Google Cloud’s host offload capability, and Jupiter, its data center network.

Google Cloud’s AI/ML-focused block storage service, Hyperdisk ML, is widely accessible.

Trillium A new era of TPU performance

Trillium A new era of TPU performance is being ushered in by TPUs, which power Google’s most sophisticated models like Gemini, well-known Google services like Maps, Photos, and Search, as well as scientific innovations like AlphaFold 2, which was just awarded a Nobel Prize! We are happy to inform that Google Cloud users can now preview Trillium, our sixth-generation TPU.

Taking advantage of NVIDIA Accelerated Computing to broaden perspectives

By fusing the best of Google Cloud’s data center, infrastructure, and software skills with the NVIDIA AI platform which is exemplified by A3 and A3 Mega VMs powered by NVIDIA H100 Tensor Core GPUs it also keeps investing in its partnership and capabilities with NVIDIA.

Google Cloud announced that the new A3 Ultra VMs featuring NVIDIA H200 Tensor Core GPUs will be available on Google Cloud starting next month.

Compared to earlier versions, A3 Ultra VMs offer a notable performance improvement. Their foundation is NVIDIA ConnectX-7 network interface cards (NICs) and servers equipped with new Titanium ML network adapter, which is tailored to provide a safe, high-performance cloud experience for AI workloads. A3 Ultra VMs provide non-blocking 3.2 Tbps of GPU-to-GPU traffic using RDMA over Converged Ethernet (RoCE) when paired with our datacenter-wide 4-way rail-aligned network.

In contrast to A3 Mega, A3 Ultra provides:

With the support of Google’s Jupiter data center network and Google Cloud’s Titanium ML network adapter, double the GPU-to-GPU networking bandwidth

With almost twice the memory capacity and 1.4 times the memory bandwidth, LLM inferencing performance can increase by up to 2 times.

Capacity to expand to tens of thousands of GPUs in a dense cluster with performance optimization for heavy workloads in HPC and AI.

Google Kubernetes Engine (GKE), which offers an open, portable, extensible, and highly scalable platform for large-scale training and AI workloads, will also offer A3 Ultra VMs.

Hypercompute Cluster: Simplify and expand clusters of AI accelerators

It’s not just about individual accelerators or virtual machines, though; when dealing with AI and HPC workloads, you have to deploy, maintain, and optimize a huge number of AI accelerators along with the networking and storage that go along with them. This may be difficult and time-consuming. For this reason, Google Cloud is introducing Hypercompute Cluster, which simplifies the provisioning of workloads and infrastructure as well as the continuous operations of AI supercomputers with tens of thousands of accelerators.

Fundamentally, Hypercompute Cluster integrates the most advanced AI infrastructure technologies from Google Cloud, enabling you to install and operate several accelerators as a single, seamless unit. You can run your most demanding AI and HPC workloads with confidence thanks to Hypercompute Cluster’s exceptional performance and resilience, which includes features like targeted workload placement, dense resource co-location with ultra-low latency networking, and sophisticated maintenance controls to reduce workload disruptions.

For dependable and repeatable deployments, you can use pre-configured and validated templates to build up a Hypercompute Cluster with just one API call. This include containerized software with orchestration (e.g., GKE, Slurm), framework and reference implementations (e.g., JAX, PyTorch, MaxText), and well-known open models like Gemma2 and Llama3. As part of the AI Hypercomputer architecture, each pre-configured template is available and has been verified for effectiveness and performance, allowing you to concentrate on business innovation.

A3 Ultra VMs will be the first Hypercompute Cluster to be made available next month.

An early look at the NVIDIA GB200 NVL72

Google Cloud is also awaiting the developments made possible by NVIDIA GB200 NVL72 GPUs, and we’ll be providing more information about this fascinating improvement soon. Here is a preview of the racks Google constructing in the meantime to deliver the NVIDIA Blackwell platform’s performance advantages to Google Cloud’s cutting-edge, environmentally friendly data centers in the early months of next year.

Redefining CPU efficiency and performance with Google Axion Processors

CPUs are a cost-effective solution for a variety of general-purpose workloads, and they are frequently utilized in combination with AI workloads to produce complicated applications, even if TPUs and GPUs are superior at specialized jobs. Google Axion Processors, its first specially made Arm-based CPUs for the data center, at Google Cloud Next ’24. Customers using Google Cloud may now benefit from C4A virtual machines, the first Axion-based VM series, which offer up to 10% better price-performance compared to the newest Arm-based instances offered by other top cloud providers.

Additionally, compared to comparable current-generation x86-based instances, C4A offers up to 60% more energy efficiency and up to 65% better price performance for general-purpose workloads such as media processing, AI inferencing applications, web and app servers, containerized microservices, open-source databases, in-memory caches, and data analytics engines.

Titanium and Jupiter Network: Making AI possible at the speed of light

Titanium, the offload technology system that supports Google’s infrastructure, has been improved to accommodate workloads related to artificial intelligence. Titanium provides greater compute and memory resources for your applications by lowering the host’s processing overhead through a combination of on-host and off-host offloads. Furthermore, although Titanium’s fundamental features can be applied to AI infrastructure, the accelerator-to-accelerator performance needs of AI workloads are distinct.

Google has released a new Titanium ML network adapter to address these demands, which incorporates and expands upon NVIDIA ConnectX-7 NICs to provide further support for virtualization, traffic encryption, and VPCs. The system offers best-in-class security and infrastructure management along with non-blocking 3.2 Tbps of GPU-to-GPU traffic across RoCE when combined with its data center’s 4-way rail-aligned network.

Google’s Jupiter optical circuit switching network fabric and its updated data center network significantly expand Titanium’s capabilities. With native 400 Gb/s link rates and a total bisection bandwidth of 13.1 Pb/s (a practical bandwidth metric that reflects how one half of the network can connect to the other), Jupiter could handle a video conversation for every person on Earth at the same time. In order to meet the increasing demands of AI computation, this enormous scale is essential.

Hyperdisk ML is widely accessible

For computing resources to continue to be effectively utilized, system-level performance maximized, and economical, high-performance storage is essential. Google launched its AI-powered block storage solution, Hyperdisk ML, in April 2024. Now widely accessible, it adds dedicated storage for AI and HPC workloads to the networking and computing advancements.

Hyperdisk ML efficiently speeds up data load times. It drives up to 11.9x faster model load time for inference workloads and up to 4.3x quicker training time for training workloads.

With 1.2 TB/s of aggregate throughput per volume, you may attach 2500 instances to the same volume. This is more than 100 times more than what big block storage competitors are giving.

Reduced accelerator idle time and increased cost efficiency are the results of shorter data load times.

Multi-zone volumes are now automatically created for your data by GKE. In addition to quicker model loading with Hyperdisk ML, this enables you to run across zones for more computing flexibility (such as lowering Spot preemption).

Developing AI’s future

Google Cloud enables companies and researchers to push the limits of AI innovation with these developments in AI infrastructure. It anticipates that this strong foundation will give rise to revolutionary new AI applications.

Read more on Govindhtech.com

[enterpriseitsolutionsagency]

Transforming IT Operations Through Automation: A Strategic Guide

In a digital-first era, businesses are under relentless pressure to deliver faster, more reliable IT services. Manual, repetitive processes not only slow down operations but also increase the risk of errors and resource wastage. This is where IT automation emerges as a strategic enabler for efficiency, scalability, and innovation.

What is IT Automation?

IT automation involves the use of software tools to execute recurring tasks without human intervention. These tasks can range from simple operations like password resets to complex workflows involving server provisioning, incident response, and cloud orchestration. The goal is to reduce manual workload, enhance consistency, and free up IT teams for strategic initiatives.

Key Benefits of IT Automation

1. Increased Efficiency

By automating time-consuming tasks, organizations can dramatically reduce turnaround times, improve workflow execution, and boost overall productivity.

2. Reduced Human Error

Automation ensures processes are executed the same way every time, minimizing errors that often arise from manual intervention.

3. Cost Optimization

With faster processes and reduced labor dependency, businesses can achieve significant cost savings across IT operations.

4. Scalability

Automation allows IT systems to scale operations rapidly in response to growing business needs without additional headcount.

5. Improved Compliance and Auditability

Automated processes are traceable and consistent, which is vital for regulatory compliance and audit readiness.

Request a quote at https://ess.net.in/automation/.

Use Cases of IT Automation

- Incident Management: Automate ticket creation, classification, and routing to accelerate issue resolution.

- Patch Management: Schedule and deploy updates across systems to ensure security compliance.

- User Provisioning: Streamline onboarding/offboarding by automating account creation, access rights, and permissions.

- Infrastructure Provisioning: Deploy servers, containers, or VMs automatically with defined templates and policies.

- Backup & Recovery: Ensure regular backups and enable automated recovery in case of failures.

Choosing the Right Automation Tools

Selecting the right automation platform is crucial. Consider tools that integrate seamlessly with your existing ITSM, cloud, and infrastructure tools. Leading platforms include

ServiceNow Workflow Automation

Ansible

Puppet

Chef

Jenkins

Microsoft Power Automate

Implementation Best Practices

Start Small: Begin with low-risk, high-impact processes.

Map Workflows: Clearly define and document existing processes.

Involve Stakeholders: Collaborate with end users and business leaders.

Monitor & Optimize: Continuously monitor outcomes and refine workflows.

Ensure Governance: Define roles, permissions, and logging for transparency.

Contact us at https://ess.net.in/contact/.

The Future of IT Automation

With the rise of AI and machine learning, automation is evolving into intelligent automation. This means systems can learn from patterns, make decisions, and even initiate actions—ushering in an era of self-healing IT operations.

Conclusion

IT automation is no longer a luxury; it's a necessity for modern enterprises seeking agility, resilience, and cost-effectiveness. By strategically implementing automation, businesses can transform their IT operations, improve service delivery, and empower teams to focus on innovation.

Explore ESS’s Automation Services to discover how your business can streamline operations, reduce costs, and achieve digital excellence.

About us

At ESS, we understand the intricate demands of the modern business landscape. As a premier enterprise IT solutions company, we are committed to empowering organizations with cutting-edge technology and innovative solutions. Our mission is to seamlessly integrate technology into your business processes, ensuring efficiency, scalability, and long-term success.

OUR CONTACT

+91-22-21581400

info@ess.net.in

[komalllsinhh]

Network Surveillance System Market | Outlook, Growth By Top Companies, Regions, Types, Applications, Drivers, Trends & Forecast 

Global Network Surveillance System Market Research Report 2025(Status and Outlook)

The Global Network Surveillance System Market size was valued at US$ 18.9 billion in 2024 and is projected to reach US$ 32.6 billion by 2032, at a CAGR of 8.1% during the forecast period 2025-2032.

Network surveillance systems are security solutions designed to monitor and protect physical and digital assets through IP-based cameras, video management software, and analytics platforms. These systems enable real-time monitoring, threat detection, and data recording across various environments including commercial spaces, residential areas, and public infrastructure. The technology encompasses hardware components like cameras and servers, along with advanced software solutions featuring AI-powered analytics.

The market growth is driven by increasing security concerns, rising adoption of IoT devices, and government initiatives for smart city development. The commercial sector accounted for the largest market share (42%) in 2023, followed by residential applications. Asia-Pacific dominated the regional market with 38% revenue share, fueled by rapid urbanization and infrastructure development in China and India. Recent technological advancements like 4K cameras and cloud-based video surveillance are creating new growth opportunities, while data privacy regulations present challenges for market players.

Our comprehensive Market report is ready with the latest trends, growth opportunities, and strategic analysis. https://semiconductorinsight.com/download-sample-report/?product_id=59018

Segment Analysis:

By Type

Hardware Segment Dominates Due to Growth in Security Camera Deployments

The market is segmented based on type into:

Hardware

Subtypes: IP cameras, analog cameras, NVRs/DVRs, encoders, and others

Software

Subtypes: video management systems (VMS), video analytics, and others

Services

Subtypes: installation & maintenance, cloud storage, and others

By Application

Commercial Segment Leads with High Adoption in Retail and Banking Sectors

The market is segmented based on application into:

Commercial

Subtypes: retail stores, banks, corporate offices, and others

Residential

Utility

Subtypes: traffic monitoring, city surveillance, and others

Industrial

Others

By Technology

IP-Based Surveillance Systems Gaining Traction Due to Superior Image Quality

The market is segmented based on technology into:

Analog Surveillance Systems

IP-Based Surveillance Systems

Hybrid Surveillance Systems

By End User

Government Sector Shows Significant Growth Due to Smart City Initiatives

The market is segmented based on end user into:

Government

Commercial Enterprises

Residential Consumers

Industrial Sector

Regional Analysis: Global Network Surveillance System Market

North America The North American network surveillance market remains a global leader due to stringent security regulations and high adoption of advanced technologies. The region’s emphasis on public safety and critical infrastructure protection fuels demand for high-resolution IP cameras, AI-powered analytics, and cloud-based surveillance solutions. Government initiatives, such as the U.S. Department of Homeland Security’s infrastructure security programs, continue to drive investments. Commercial sectors—particularly banking, retail, and healthcare—are integrating IoT-enabled surveillance systems for loss prevention and compliance. While the U.S. dominates the market, Canada shows increasing growth due to smart city projects in Toronto and Vancouver. Data privacy laws like GDPR influence product development, pushing vendors toward encrypted and cybersecurity-compliant solutions. The competitive landscape includes both established players (Honeywell, Avigilon) and niche AI startups specializing in behavioral analytics.

Europe Europe’s market thrives on regulatory frameworks mandating surveillance in public spaces and transport hubs. The EU’s General Data Protection Regulation (GDPR) shapes system requirements, emphasizing data storage localization and anonymization. Germany and the UK lead in adopting AI-based surveillance for crowd management and anti-terrorism. A key trend is the shift from legacy analog systems to hybrid and fully IP-based networks. Manufacturers like Bosch and Axis Communications benefit from demand for thermal cameras and automated license plate recognition (ALPR) systems. Southern European nations show slower but steady growth, focusing on tourism security. The region also sees increasing integration of surveillance with building automation systems, driven by energy efficiency mandates. However, public resistance to facial recognition in some countries poses adoption challenges.

Asia-Pacific As the fastest-growing market, Asia-Pacific benefits from massive urbanization and government-led smart city projects. China accounts for over 40% of regional demand, with Hikvision and Dahua dominating both domestic and export markets. India focuses on urban surveillance under the Safe City Mission, deploying thousands of cameras in high-crime areas. Southeast Asian countries prioritize traffic monitoring and retail security, favoring cost-effective solutions. Japan and South Korea invest in AI-driven predictive surveillance for public safety. Two factors differentiate APAC: scale (millions of cameras deployed annually) and price sensitivity driving localization. The region also faces unique challenges, including varying data sovereignty laws and resistance due to privacy concerns in democracies like Australia and New Zealand.

South America This emerging market leans toward mid-range surveillance solutions for crime prevention in Brazil, Colombia, and Argentina. Economic constraints limit large-scale deployments, but banking and retail sectors invest in networked video recorders (NVRs) and cloud backup systems. Governments prioritize surveillance in high-risk urban zones, sometimes partnering with Chinese vendors for affordable hardware. The lack of standardized regulations across countries creates fragmentation, though Brazil’s data protection law (LGPD) is pushing modernization. Local manufacturers focus on basic IP cameras, while international brands target premium segments like airports and mining sites. Political instability and currency fluctuations remain barriers, but rising insurance requirements for businesses stimulate steady demand.

Middle East & Africa The Gulf Cooperation Council (GCC) countries drive growth through megaprojects like NEOM and Expo-linked infrastructure, deploying cutting-edge surveillance with facial recognition. Dubai leads in smart city integration, while Saudi Arabia focuses on oil facility security. Sub-Saharan Africa shows potential with bank security and urban traffic systems, though adoption is hindered by limited IT infrastructure. South Africa remains the most advanced market, using surveillance for township crime reduction. A regional differentiator is the preference for ultra-high-definition (4K+) cameras in luxury developments. Notably, Chinese vendors dominate mid-tier segments, while Western firms supply critical infrastructure projects. Power reliability issues necessitate solar-powered and edge-computing solutions in rural areas.

List of Prominent Network Surveillance System Providers

Hikvision (China)

Dahua Technology (China)

Axis Communications (Sweden)

Bosch Security Systems (Germany)

Honeywell Security (U.S.)

Avigilon (Canada)

Hanwha Vision (South Korea)

Panasonic i-PRO Sensing Solutions (Japan)

Pelco by Schneider Electric (U.S.)

Vivotek (Taiwan)

Global security challenges have elevated the demand for advanced network surveillance solutions across commercial and public sectors. Growing threats ranging from organized retail theft to terrorist activities are pushing governments and enterprises to invest heavily in surveillance infrastructure. The retail sector alone loses billions annually to theft – driving a 28% year-over-year increase in surveillance deployments to protect assets. Meanwhile, urban population growth continues straining public safety resources, with major cities deploying smart surveillance networks to enhance monitoring capabilities and response times.

Breakthroughs in artificial intelligence and computer vision are transforming the surveillance landscape. Modern systems now incorporate machine learning algorithms capable of facial recognition, behavior analysis, and real-time threat detection with over 95% accuracy rates. These intelligent systems reduce human monitoring fatigue while improving incident response. The integration of 5G networks further enhances capabilities, enabling ultra-high-definition video streaming with sub-50ms latency. Such technological leaps are making surveillance solutions more accessible and effective across different budget ranges.

Public sector investments continue to drive significant market growth, particularly in smart city projects globally. Many national security programs now mandate surveillance system deployments in high-risk areas, with transportation hubs receiving particular focus. Recent infrastructure bills have allocated billions toward upgrading public safety technologies, creating substantial opportunities for surveillance providers. These initiatives often require integration with existing emergency response systems, further expanding the value chain for comprehensive security solutions.

Implementing modern surveillance networks requires specialized expertise that remains scarce in many markets. Configuration challenges arise when combining hardware from multiple vendors or integrating with legacy systems. Without proper planning, enterprises risk creating security gaps or suboptimal performance that undermines system effectiveness. This complexity drives up professional service costs while potentially delaying project timelines by months.

Surveillance systems generate enormous data volumes that require careful governance. Organizations must balance retention policies with storage costs while meeting varied regulatory requirements across jurisdictions. Many struggle with implementing effective data lifecycle management strategies, particularly when footage must be preserved for potential evidentiary purposes. These challenges are compounded when operating across international borders with conflicting privacy laws.

While AI-powered analytics improve detection capabilities, false positive rates remain problematic for many systems. Excessive nuisance alerts can desensitize security personnel, potentially causing them to overlook genuine threats. This challenge intensifies as systems expand coverage areas and detection parameters. Vendors must continue refining algorithms to maintain high accuracy while minimizing operator fatigue that could compromise security operations.

The market is highly fragmented, with a mix of global and regional players competing for market share. To Learn More About the Global Trends Impacting the Future of Top 10 Companies https://semiconductorinsight.com/download-sample-report/?product_id=59018

Key Questions Answered by the Network Surveillance System Market Report:

What is the current market size of Global Network Surveillance System Market?

Which key companies operate in Global Network Surveillance System Market?

What are the key growth drivers?

Which region dominates the market?

What are the emerging trends?

Browse More Reports:

CONTACT US:

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[izoecloudservices]

Azure Cloud Services for Growing Businesses | iZoe

Microsoft Azure is a leading cloud platform that provides a diverse set of cloud computing services — from virtual machines and data storage to artificial intelligence and machine learning tools. Powered by Microsoft’s global data center network, Azure enables companies to innovate faster with on-demand computing power, smart analytics, and advanced data security.

Whether you want to move your existing apps to the cloud or build new cloud-native solutions, Azure's pay-as-you-go model enables you to scale up or down as per your requirements — making it both cost-effective and future-ready.

Why Choose Azure Cloud Services?

When you choose Azure Cloud Services through iZoe Solution, you gain access to the most advanced features and expertise that drive success:

1. Scalable Infrastructure

No matter your company’s size, Azure empowers you with on-demand scalability. Deploy new virtual machines instantly, scale your storage capacity as needed, and maintain high performance without investing in additional hardware.

2. Enhanced Security

Your data is one of your most valuable assets, so we make security a top priority. Azure offers built-in multilayer security across physical data centers, operations, and networks. Features like encryption, identity management, and advanced threat intelligence ensure that your data stays protected around the clock.

3. Cost Optimization

Azure's pay-as-you-go pricing ensures that you only pay for what you use — helping you manage IT budgets more effectively. iZoe Solution will help you monitor usage and optimize resources to maximize ROI and minimize waste.

4. Seamless Integration

Already using Microsoft tools like Office 365, Dynamics 365, or SharePoint? Azure integrates seamlessly with these and other Microsoft products. This simplifies workflows, enhances collaboration, and enables you to leverage your existing software investments.

5. AI and Analytics

Harness Azure's advanced AI and machine learning services to discover new insights, automate processes, and create data-driven strategies. With iZoe Solution’s expertise, you can explore predictive analytics, automated processes, and customized models to help you make smarter decisions faster.

Azure Services Offered by iZoe Solution

At iZoe Solution, we offer end-to-end support for Azure Cloud implementation tailored to your unique business needs. Our experienced team simplifies migration and ensures you gain long-term value with hands-on expertise.

Here’s what we can help you with:

Azure Virtual Machines & Networking Deploy Windows and Linux-based VMs to meet your compute requirements and create secure, scalable networks.

Cloud Storage & Backup Store and manage your data securely with solutions like Azure Blob Storage, SQL Database, and automated backups for data safety.

Azure Active Directory Enable secure authentication and single sign-on across all your business applications with centralized identity management.

Azure DevOps & Containers Develop, test, and deploy your apps faster with containerized solutions and automated DevOps pipelines.

Cost & Resource Optimization Continuously monitor usage to control costs, manage performance, and right-size resources with iZoe Solution's guidance.

When you choose iZoe Solution as your Azure Cloud partner, you gain access to a team of certified cloud experts dedicated to delivering personalized service. Our client-centric process ensures you get the most out of your Azure investment — from consultation and deployment to ongoing support and optimization.

Reach out to iZoe Solution today to discover the power of Azure Cloud Services tailored to your unique business needs. Let’s unlock new opportunities together.

[simplifyworkforce]

Top 50 Leadership Interview Questions to Ask Candidates (simplifyvms.com)

Discover the top 50 leadership interview questions to assess candidates' skills, decision-making, and management style. Perfect for finding the right leader for your team.

[skyfallights]

IP Video Surveillance Market Size Enabling Next-Gen Security and Intelligence

The IP Video Surveillance Market Size has become a cornerstone in modern security systems, transitioning the surveillance Market Size from analog to intelligent, real-time, and remotely accessible video solutions. IP-based surveillance is revolutionizing security management across industries by offering higher resolution, cloud integration, advanced analytics, and cost-effective scalability.

According to Market Size Research Future, the global IP video surveillance Market Size is projected to reach USD 115.3 billion by 2030, growing at a CAGR of 13.1% from 2023 to 2030. This growth is fueled by the increasing threat landscape, demand for centralized monitoring, and the integration of AI-powered video analytics.

Market Size Overview

IP video surveillance systems convert video signals into digital formats for transmission and storage over IP networks. These systems include IP cameras, network video recorders (NVRs), video management software (VMS), and cloud-based solutions. Unlike analog systems, IP surveillance offers remote accessibility, motion detection, facial recognition, people counting, and behavioral analytics.

The expansion of smart cities, infrastructure digitization, and increasing adoption in public spaces, enterprises, retail, and industrial sectors are driving Market Size demand globally.

Market Size Drivers

1. Rising Security Concerns Across Sectors

Public infrastructure, transportation, education, and healthcare facilities are increasingly deploying IP surveillance systems to enhance perimeter security, crowd monitoring, and emergency response.

2. Smart City Initiatives

Governments globally are investing in IP-based surveillance infrastructure as part of urban development, focusing on traffic management, crime detection, and disaster management.

3. Technological Advancements

High-resolution cameras (4K and above), cloud storage, AI/ML video analytics, edge computing, and cybersecurity enhancements are making IP surveillance systems smarter, faster, and more resilient.

4. Remote Work and Facility Monitoring

Post-COVID, enterprises are leveraging cloud-enabled video surveillance to monitor remote offices, warehouses, and unmanned locations, ensuring business continuity and security compliance.

Market Size Segmentation

By Component:

Hardware (Cameras, Recorders, Monitors)

Software (VMS, Analytics)

Services (Managed Services, Integration Services)

By Application:

Commercial (Retail, Banking, Hospitality)

Residential

Industrial (Manufacturing, Logistics)

Government & Defense

Transportation (Airports, Railways)

By Connectivity:

Centralized IP Surveillance

Decentralized IP Surveillance

Regional Analysis

North America

North America leads the Market Size due to strong investments in infrastructure security, advanced analytics, and the presence of key technology providers.

Europe

Europe is driven by regulatory mandates (e.g., GDPR), widespread public surveillance adoption, and smart city projects in the UK, Germany, and France.

Asia-Pacific

Asia-Pacific is the fastest-growing region, with significant demand from China, India, and Southeast Asia, bolstered by large-scale urban development, increasing crime rates, and governmental initiatives.

Key Players

Leading companies in the IP video surveillance Market Size are investing in AI, edge processing, and cybersecurity to enhance value propositions:

Axis Communications

Hikvision

Dahua Technology

Bosch Security Systems

Hanwha Techwin

Avigilon (Motorola Solutions)

Honeywell Security

Panasonic i-PRO

Vivotek Inc.

Pelco

Challenges and Opportunities

Challenges:

Privacy concerns and data protection regulations

Network vulnerabilities and cyberattacks

High initial setup costs for advanced systems

Opportunities:

AI-based behavioral analytics and object detection

Integration with access control and IoT systems

Demand for scalable cloud-based surveillance in SMBs

Conclusion

The IP Video Surveillance Market Size is rapidly evolving into an essential pillar of proactive security and intelligent monitoring. As technology advances, organizations that adopt cloud-native, AI-driven IP surveillance systems will gain a strategic edge in preventing threats, optimizing operations, and building trust in a digital-first era.

IP video surveillance is no longer just about watching—it's about interpreting, predicting, and acting in real-time.

Trending Report Highlights

Explore high-growth Market Size s transforming digital infrastructure and embedded intelligence:

Seven Segment Display Market Size

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Insulated Wire and Cable Market Size

Micro Datacenters Market Size

Photosensitive Semiconductor Device Market Size

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UV LED Market Size

Semiconductor Rectifiers Market Size

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Blue Laser Diode Market Size

3D Cinema Screen Market Size

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[noahray]

Vending Management System: Streamlining Smart Retail Operations

As the retail industry evolves, automation and data-driven decision-making have become essential. Traditional vending machines are giving way to intelligent systems that do more than dispense products—they analyze, optimize, and transform the way vending businesses operate. At the heart of this evolution is the vending management system (VMS).

A vending management system is not just a software tool—it's a digital backbone that powers modern vending networks, enabling businesses to operate more efficiently, increase profits, and deliver a better customer experience.

What Is a Vending Management System?

A vending management system is a comprehensive platform that allows operators to monitor, manage, and optimize a fleet of vending machines remotely. Whether you're managing 10 or 1,000 machines, a VMS provides a centralized dashboard to control operations in real time.

Advanced systems, like those offered by SandStar, integrate AI, IoT, and computer vision, providing unmatched visibility and automation across the vending network.

Key Features of a Smart Vending Management System

1. Real-Time Inventory Tracking

Know exactly what’s in each machine, at any time. A VMS monitors stock levels across your locations, alerts you when products are low or expired, and helps reduce out-of-stock events and spoilage.

2. Sales & Performance Analytics

Track which products are selling best, peak usage times, and revenue by machine or location. These insights help optimize product placement, pricing, and stocking strategies.

3. Remote Diagnostics & Maintenance

Receive automatic notifications if a machine is offline, has a technical issue, or requires servicing. Many problems can be diagnosed—and sometimes resolved—without dispatching a technician.

4. Dynamic Pricing & Promotions

Adjust prices based on time of day, demand, or expiration dates. A smart VMS allows you to set automated discounts, bundle deals, and loyalty offers remotely.

5. Route Optimization for Refill Teams

Save time and fuel by planning restocking routes based on real-time inventory data, rather than fixed schedules. This improves efficiency and reduces operational costs.

Why Your Vending Business Needs a VMS

✅ Improved Efficiency

Automating routine tasks and streamlining operations lets your team focus on growth, not guesswork. A VMS takes the manual effort out of restocking, maintenance, and reporting.

✅ Enhanced Customer Experience

Fewer out-of-stock products and fewer machine breakdowns lead to happier customers. With features like contactless payment and fast checkout, smart vending becomes more convenient than ever.

✅ Scalability

Whether you're managing a few machines or an international network, a VMS helps you scale without losing control. New machines can be onboarded quickly with plug-and-play functionality.

✅ Data-Driven Decisions

With access to detailed reports and analytics, business owners can make smarter choices about inventory, pricing, location strategy, and product selection.

SandStar’s AI-Driven Vending Management System

SandStar offers a state-of-the-art vending management solution that integrates computer vision, AI-powered analytics, and real-time system monitoring. It’s designed to support smart vending machines, unattended stores, and micro-markets.

With SandStar’s system, you can:

Manage multiple machines from a single dashboard

Analyze consumer behavior patterns using vision-based data

Remotely adjust promotions and pricing

Maintain higher uptime and faster service response

Trusted by global brands like PepsiCo, Coca-Cola, and Unilever, SandStar’s technology helps businesses enhance retail operations and drive revenue growth.

Industries That Benefit from Vending Management Systems

Retail Chains – Streamline operations across locations

Corporate Campuses – Provide employee snacks and essentials with full visibility

Airports & Transit Hubs – Ensure 24/7 service without staffing

Healthcare Facilities – Reduce product waste and ensure availability

Universities & Schools – Serve students efficiently and cost-effectively

Conclusion: Powering the Future of Automated Retail

A modern vending management system is more than a convenience—it's a necessity for operators who want to compete in the future of retail. From real-time inventory control to automated insights and remote servicing, a VMS empowers businesses to deliver better results with less manual effort.

With innovative platforms like SandStar, vending businesses can embrace automation, enhance profitability, and deliver superior customer experiences—all while staying ahead of the competition.

Ready to take control of your vending operations? Visit SandStar to learn how our AI-powered solutions can transform your retail strategy.

[global-research-report]

Data Center Market Forecast & Growth Trends

The global data center market was valued at USD 347.60 billion in 2024 and is expected to reach USD 652.01 billion by 2030, expanding at a robust compound annual growth rate (CAGR) of 11.2% from 2025 to 2030. This growth is primarily driven by the exponential surge in data generation across various sectors, fueled by widespread digital transformation initiatives and the increasing adoption of advanced technologies such as cloud computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT).

As organizations generate and process vast volumes of data, the demand for scalable, secure, and energy-efficient data center infrastructure has intensified. Enterprises are seeking agile and resilient IT architectures to support evolving business needs and digital services. This has led to the rapid expansion of data center capacity worldwide, with a particular focus on hyperscale and colocation facilities.

Hyperscale data center operators—including major players such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud—are continuously scaling their infrastructure to meet global demands for cloud storage, computing power, and data processing. These tech giants are making substantial investments in constructing new data centers and upgrading existing ones to ensure seamless service delivery, latency reduction, and improved data security.

Simultaneously, the colocation segment is gaining momentum as businesses pursue cost-effective solutions to manage IT infrastructure. Colocation centers offer shared facilities equipped with high-speed connectivity, advanced cooling systems, and robust physical and cyber security. These benefits allow companies—especially small and medium enterprises—to scale their operations flexibly without the high capital expenditure required to build and maintain in-house data centers.

Another major trend accelerating market growth is the rise of edge computing. As the number of IoT devices and real-time applications grows, there is an increasing need for decentralized computing infrastructure. Edge data centers, located closer to end-users and data sources, provide reduced latency and faster response times—critical for applications in sectors such as autonomous vehicles, remote healthcare, industrial automation, and smart cities.

Key Market Trends & Insights

In 2024, North America dominated the global data center market with a share of over 40.0%, propelled by the widespread adoption of cloud services, AI-powered applications, and big data analytics across industries.

The United States data center market is anticipated to grow at a CAGR of 10.7% between 2025 and 2030, driven by continued digital innovation, enterprise cloud adoption, and the expansion of e-commerce and fintech platforms.

On the basis of components, the hardware segment accounted for the largest market share of more than 67.0% in 2024. The surge in online content consumption, social networking, digital transactions, and IoT connectivity has significantly boosted demand for high-capacity, high-performance hardware.

Within the hardware category, the server segment emerged as the market leader, contributing over 34.0% to revenue in 2024. Modern servers are being equipped with enhanced processing power, memory, and storage efficiency, all of which are crucial to supporting next-generation computing needs.

Among software solutions, the virtualization segment held a dominant share of nearly 18.0% in 2024. Virtualization allows data centers to maximize hardware utilization by enabling multiple virtual machines (VMs) to operate on a single physical server, reducing costs and increasing operational flexibility.

Order a free sample PDF of the Data Center Market Intelligence Study, published by Grand View Research.

Market Size & Forecast

2024 Market Size: USD 347.60 Billion

2030 Projected Market Size: USD 652.01 Billion

CAGR (2025-2030): 11.2%

North America: Largest market in 2024

Asia Pacific: Fastest growing market

Key Companies & Market Share Insights

Key players operating in the data center industry are Amazon Web Services (AWS), Inc. Microsoft, Google Cloud, Alibaba Cloud, and Equinix, Inc. The companies are focusing on various strategic initiatives, including new product development, partnerships & collaborations, and agreements to gain a competitive advantage over their rivals. The following are some instances of such initiatives.

In February 2025, Alibaba Cloud, the digital technology arm of Alibaba Group, opened its second data center in Thailand to meet the growing demand for cloud computing services, particularly for generative AI applications. The new facility enhances local capacity and aligns with the Thai government's efforts to promote digital innovation and sustainable technology. Offering a range of services including elastic computing, storage, databases, security, networking, data analytics, and AI solutions, the data center aims to address industry-specific challenges.

In December 2024, Amazon Web Services (AWS) introduced redesigned data center infrastructure to accommodate the growing demands of artificial intelligence (AI) and sustainability.  The updates features advancements in liquid cooling, power distribution, and rack design, enabling a sixfold increase in rack power density over the next two years. AWS stated that these enhancements aims to deliver a 12% boost in compute power per site, improve energy efficiency, and enhance system availability.

In May 2024, Equinix, Inc. launched its first two data centers in Malaysia, with the International Business Exchange (IBX) facilities now operational in Johor and Kuala Lumpur. The facilities are intended to cater to Equinix Inc.'s customers in Malaysia while enhancing regional connectivity.

Key Players

Alibaba Cloud

Amazon Web Services, Inc.

AT&T Intellectual Property

Lumen Technologies (CenturyLink)

China Telecom Americas, Inc.

CoreSite

CyrusOne

Digital Realty

Equinix, Inc.

Google Cloud

IBM Corporation

Microsoft

NTT Communications Corporation

Oracle

Tencent Cloud

Browse Horizon Databook on Global Data Center Market Size & Outlook

Conclusion

The global data center market is undergoing rapid expansion, driven by the growing digital economy, technological advancements, and the ever-increasing demand for data storage, computing power, and connectivity. Hyperscale and colocation facilities are at the forefront of this transformation, offering scalable and secure infrastructure that supports cloud computing, AI workloads, and real-time applications. Edge computing is further reshaping the landscape by bringing processing capabilities closer to data sources, enabling faster and more efficient services across various industries.

As the market continues to evolve, investment in energy-efficient hardware, software virtualization, and regional data center development will be critical to meeting future demands. Companies that adopt flexible, sustainable, and innovation-driven data infrastructure strategies will be best positioned to capitalize on the tremendous growth opportunities in the data center space over the coming years.

[industrystudyreport]

New Report Highlights Growth Opportunities in Visitor Management System Market

Visitor Management System Market Growth & Trends

The global Visitor Management System Market is poised for substantial growth, with an anticipated size of USD 3.98 billion by 2030, exhibiting a robust Compound Annual Growth Rate (CAGR) of 13.4% from 2024 to 2030.

This growth is primarily fueled by several key factors:

Advanced Analytics Tools: Modern VMS platforms offer sophisticated analytics capabilities that provide organizations with invaluable insights into visitor patterns, behavior, and demographics. This data is crucial for:

Improving marketing strategies

Optimizing resource allocation

Enhancing the overall visitor experience

Technological Advancements: The integration of cutting-edge technologies is significantly boosting the capabilities and appeal of VMS solutions. These advancements lead to improved accuracy, convenience, and security in visitor management processes, contributing to market expansion:

Biometrics: For highly secure and efficient identification.

AI-based Facial Recognition: Enhancing security and streamlining the check-in process.

Cloud Computing: Offering scalability, accessibility, and reduced infrastructure costs.

Mobile Applications: Providing convenience for both visitors (pre-registration, digital passes) and hosts (notifications, approvals).

In essence, the evolution of VMS from basic sign-in sheets to comprehensive, technologically advanced platforms is driving its widespread adoption across various industries aiming to enhance security, efficiency, and the overall visitor experience.

Curious about the Visitor Management System Market? Download your FREE sample copy now and get a sneak peek into the latest insights and trends.

Visitor Management System Market Report Highlights

Based on application, compliance management & fraud detection held the largest share in 2023 and is expected to grow at the fastest CAGR over the forecast period. Increasing regulatory requirements and compliance standards across industries, such as finance, healthcare, and government, are driving the demand for robust compliance management solutions

Organizations need to adhere to regulations and prevent fraudulent activities, leading to the adoption of advanced fraud detection technologies

Based on deployment, the cloud-based segment held the largest revenue share in 2023 and is expected to grow at fastest CAGR over the forecast period

Cloud-based solutions offer scalability, allowing businesses to easily adjust resources based on demand. This flexibility appeals to organizations of all sizes, from startups to enterprises, driving adoption and revenue growth

Based on solution, software held the largest revenue share in 2023. Businesses across industries are undergoing digital transformation, driving the demand for software solutions to streamline operations, improve efficiency, and enhance customer experiences

The services segment is expected to grow at the fastest CAGR over the forecast period. The shift from traditional one-time sales to subscription-based models is driving services segment market growth

Based on vertical, BFSI held the largest market share in 2023. The BFSI industry is undergoing rapid digital transformation, driven by customer demand for convenient banking services, online transactions, mobile banking apps, and personalized financial products

Visitor Management System Market Segmentation

Grand View Research has segmented the global visitor management system (VMS) market based on application, deployment, solution, vertical, and region:

Visitor Management System Application Outlook (Revenue, USD Million, 2018 - 2030)

Parking Management

Compliance Management & Fraud Detection

Historical Visitor Tracking

Security Management

Contact Tracing

Others

Visitor Management System Deployment Outlook (Revenue, USD Million, 2018 - 2030)

Cloud-based

On-premises

Visitor Management System Solution Outlook (Revenue, USD Million, 2018 - 2030)

Software

Services

Visitor Management System Vertical Outlook (Revenue, USD Million, 2018 - 2030)

BFSI

Retail

IT & Telecom

Healthcare

Manufacturing

Government & Defense

Others

Download your FREE sample PDF copy of the Visitor Management System Market today and explore key data and trends.

[aarna-blog]

Seamless Integration of aarna.ml GPU CMS with DDN EXAScaler for High-Performance AI Workloads

Managing external storage forGPU-accelerated AI workloads can be complex—especially when ensuring thatstorage volumes are provisioned correctly, isolated per tenant, andautomatically mounted to the right compute nodes. With aarna.ml GPU CloudManagement Software (GPU CMS), this entire process is streamlined throughseamless integration with DDN EXAScaler.​

End-to-EndAutomation with No Manual Steps

With aarna.ml GPU CMS, end users don’tneed to manually log into multiple systems, configure storage mounts, or worryabout compatibility between compute and storage. The DDN EXAScaler integrationis fully automated—allowing users to simply specify:​

Everything else—from tenant-awareprovisioning, storage policy enforcement, network isolation, to automatic mountpoint creation—is handled seamlessly by aarna.ml GPU CMS.

Simpleand Efficient Flow

Theprocess starts with the NCP admin (cloud provider admin) importing the entireGPU infrastructure (compute, storage, E⇔W network, N⇔S network) into thesoftware and setting up a new tenant. Once the tenant is created, the tenantuser can allocate a GPU bare-metal or VM instance and request external storagefrom DDN.

The tenant simply provides:

Once these inputs are provided, aarna.mlGPU CMS handles all interactions with DDN, including:

This zero-touch integration eliminatesany need for the tenant to interact with the DDN portal directly.

Real-TimeValidation Across Systems

To ensure transparency and operationalassurance, the NCP admin or tenant admin can view all configured storagevolumes directly within aarna.ml GPU CMS. For additional verification, they canalso cross-check the automatically created tenants, networks, policies, andmount points directly in the DDN admin portal.

All configurations are performed via APIswith no manual intervention.

FullTenant Experience

Once the storage is provisioned, thetenant user can log directly into their allocated GPU compute node andimmediately access the mounted DDN EXAScaler storage volume. Whether forlarge-scale AI training data or model checkpoints or inference, this automatedmount ensures data is available where and when the user needs it.

KeyBenefits

The aarna.ml GPU CMS provides thefollowing key benefits:

API-DrivenConsistency: All configurations—frommount points to network overlays—are performed through automated APIs, ensuringaccuracy and compliance with tenant policies.

This post originally published on https://www.aarna.ml

[ifitechsolu1pg2]

Unlocking the Power of Microsoft Azure Cloud Services

Companies nowadays must find flexible, scalable and economical ways to operate so they can compete in the modern market. With its large and flexible range of services, Microsoft Azure is considered a leading cloud platform for businesses in every sector. Azure uses virtual machines and AI-backed analytics to drive digital transformation around the world.

What is Microsoft Azure?

Microsoft built Microsoft Azure to serve as a cloud computing and infrastructure service. It provides a variety of services for its customers:

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS)

Software as a Service (SaaS)

Thanks to these services, businesses can use Microsoft data centers all over the world to manage their applications. Because Azure offers support for a range of languages, tools and frameworks, it is suitable for enterprises at any size.

Key Benefits of Microsoft Azure

1. Scalability and Flexibility

Azure makes it possible for businesses to adjust their infrastructure based on how much work they need to handle. Because infrastructure is flexible, companies don’t have to pay much ahead and only cover their actual expenses.

2. Security and Compliance

Cybersecurity and compliance are major areas where Microsoft puts money. Security, identity management and threat protection are included in Azure features. In addition, it follows many industry standards and certifications, including ISO 27001, HIPAA, FedRAMP and GDPR.

3. Global Reach

Azure’s services are offered from over 60 regions which keeps data available, lowers latency and provides effective ways to recover in emergencies. Serving customers all over the world is now possible for many businesses.

4. Advanced Analytics and AI

Companies can make full use of Azure for performing data analysis, gathering business data and implementing artificial intelligence. With Azure Synapse Analytics, Azure Machine Learning and Power BI, users can make decisions based on data and introduce new innovations.

5. Hybrid Cloud Capabilities

Using Microsoft Azure, companies may easily link their local servers to cloud-based services. Azure Arc and Azure Stack help enterprises easily handle managing multiple cloud environments.

6. Cost Optimization

Azure users can choose from different pricing levels and use cost control resources like Azure Cost Management and Azure Advisor. This means organizations can keep track, manage and make the most of their cloud spending.

Popular Microsoft Azure Services

Here are some of the most widely used Azure services:

Azure Virtual Machines (VMs): Run Windows or Linux-based applications on virtual machines in the cloud.

Azure App Services: Quickly build, deploy, and scale web apps.

Azure SQL Database: Fully managed relational database with built-in high availability.

Azure Kubernetes Service (AKS): Deploy and manage containerized applications with ease.

Azure DevOps: Deliver software faster with a set of development tools for CI/CD pipelines.

Why Partner with a Certified Azure Expert?

Operating and supervising cloud services at an expert level takes special knowledge. That is why choosing a Microsoft partner can greatly improve your experience with the cloud.

IFI Techsolutions: Your Trusted Microsoft Azure Partner

As a Microsoft Solutions Partner, IFI Techsolutions creates full Azure solutions that address your company’s individual needs. From the very beginning of assessing your needs, IFI Techsolutions will see you through the migration, deployment and daily support of your Microsoft Azure Cloud services.

Their services include:

Azure Cloud Migration

Cloud Cost Optimization

Data Modernization

Security and Compliance Audits

AI and Analytics Solutions

Managed Azure Services

With a team of Microsoft-certified professionals, IFI Techsolutions empowers businesses to adopt the cloud confidently, optimize operations, and drive innovation.

As cloud adoption continues to accelerate, Microsoft Azure remains a top choice for businesses seeking agility, resilience, and innovation. Whether you're a startup looking to scale or an enterprise aiming for digital transformation, Azure offers the tools and infrastructure to achieve your goals.

And with IFI Techsolutions by your side, you gain a strategic partner committed to helping you harness the full potential of Azure cloud services—safely, efficiently, and cost-effectively.