#infrastructure cloud computing

[thatswhatsushesaid]

just like with machine learning, we can and should demystify “the cloud” without demonizing it in the process. cloud computing and cloud storage architecture are extremely useful tools; it’s how they get deployed by big tech companies that can be a problem.

[betagrove]

That tweet about each ai prompt wasting a full 16oz of water isn't true like at all

[opteamixinsights]

We offers expert cloud migration, cloud native application development and cloud infrastructure consulting services to help businesses become customer-focused

[arjun070]

Data Center Virtualization Market Report: Unlocking Growth Potential and Addressing Challenges

United States of America – June 26, 2025 – The Insight Partners is pleased to announce its latest market report titled "Data Center Virtualization Market: An In-depth Analysis of Industry Trends and Opportunities." This report provides a comprehensive overview of the data center virtualization market, examining current dynamics and future growth prospects across key segments.

Overview of Data Center Virtualization Market

The data center virtualization market has experienced significant transformation due to rapid digitalization, the rise of cloud computing, and increasing demand for scalable IT infrastructure. Virtualization technologies allow organizations to optimize resource utilization, reduce operational costs, and enhance business agility. The market is evolving with advancements in server, storage, and network virtualization solutions, alongside growing adoption by enterprises of all sizes.

Key Findings and Insights

Market Size and Growth

The data center virtualization market continues to expand steadily, driven by increasing demand from various industry verticals and growing adoption of virtualization services. Organizations are focusing on enhancing IT efficiency and security while managing complex workloads and expanding data volumes.

Key Factors Influencing the Market

Accelerated cloud adoption and hybrid IT environments.

Rising need for cost-effective and flexible IT infrastructure.

Enhanced disaster recovery and business continuity requirements.

Increasing emphasis on energy-efficient and sustainable data centers.

Market Segmentation

The market is segmented by:

Component:

Solution

Services

Type:

Server

Storage

Network

Desktop

Application

Organization Size:

Large Enterprises

SMEs

End User:

BFSI (Banking, Financial Services, and Insurance)

Healthcare

IT and Telecommunication

Manufacturing

Government

Retail

Other sectors

This segmentation highlights the broad applicability of data center virtualization technologies across diverse industries and organizational scales.

Spotting Emerging Trends

Technological Advancements: Development of software-defined data centers (SDDC), containerization, and enhanced virtualization security protocols are reshaping the market landscape.

Changing Consumer Preferences: Organizations are increasingly prioritizing flexible, scalable virtualization solutions that support remote and hybrid work models.

Regulatory Changes: Compliance with data protection regulations and standards is influencing virtualization strategies and investments.

Growth Opportunities

The data center virtualization market presents promising opportunities in:

Expanding virtualization in emerging economies with growing IT infrastructure investments.

Adoption of AI and machine learning for automated and intelligent data center management.

Increasing demand for virtualization in cloud-native applications and edge computing.

Development of customized virtualization solutions for industry-specific needs.

Conclusion

The Data Center Virtualization Market: Global Industry Trends, Share, Size, Growth, Opportunity, and Forecast 2023-2031 report provides much-needed insight for a company willing to set up its operations in the Data Center Virtualization Market. Since an in-depth analysis of competitive dynamics, the environment, and probable growth path are given in the report, a stakeholder can move ahead with fact-based decision-making in favor of market achievements and enhancement of business opportunities.

About The Insight Partners

The Insight Partners is among the leading market research and consulting firms in the world. We take pride in delivering exclusive reports along with sophisticated strategic and tactical insights into the industry. Reports are generated through a combination of primary and secondary research, solely aimed at giving our clientele a knowledge-based insight into the market and domain. This is done to assist clients in making wiser business decisions. A holistic perspective in every study undertaken forms an integral part of our research methodology and makes the report unique and reliable.

To know more and get access to Sample reports. https://www.theinsightpartners.com/sample/TIPRE00039803 

[teleglobalinternational]

Cloud Infrastructure Security Threats and Challenges in 2025

Cloud infrastructure security remains a top-tier concern for organizations in 2025, a year marked by escalating reliance on cloud services. While these environments offer unmatched flexibility and scale, they also introduce a unique array of security threats and persistent challenges that demand constant vigilance and adaptive strategies. As the digital landscape evolves, safeguarding the foundational cloud infrastructure becomes even more paramount.

Evolving Threat Landscape in 2025

One of the most pressing threats in 2025 is the heightened sophistication of cyberattacks. Threat actors are now expertly wielding advanced techniques, including AI-powered tools, to circumvent traditional security measures. We're seeing more Advanced Persistent Threats (APTs) specifically targeting cloud infrastructure, aiming for prolonged infiltration and covert data exfiltration. These attacks are increasingly subtle, designed to evade detection and exploit intricate vulnerabilities. Furthermore, supply chain attacks pose a growing danger, where attackers compromise third-party vendors or essential software components integrated into cloud environments, leading to widespread security breaches.

Identity-based attacks, such as account takeovers and credential theft, continue to be a primary pathway for compromising cloud infrastructure. Even with advancements in multi-factor authentication (MFA) and robust Identity and Access Management (IAM) systems, weaknesses in their implementation or human error can still expose systems. The sheer volume of sensitive data stored in the cloud also means data breaches are an ongoing risk, with attackers constantly searching for misconfigured storage buckets or exploiting flaws to gain unauthorized access to confidential information.

Persistent Cloud Security Challenges

Beyond these evolving threats, several fundamental challenges continue to complicate cloud infrastructure security in 2025. Chief among them are misconfigurations. The inherent complexity of cloud platforms, with their vast array of services and intricate settings, often leads to human error. Even minor misconfigurations—like an open network port or overly permissive access rights—can create critical entry points for attackers. This challenge is amplified in multi-cloud or hybrid cloud setups, where maintaining consistent security policies across diverse providers becomes an intricate task.

The shared responsibility model, while a cornerstone of cloud security, remains a common source of confusion. Organizations sometimes misunderstand their precise security obligations, mistakenly assuming that the cloud provider handles all security aspects. This gap in understanding can leave vital components, such as application-level security, operating system patching, and data encryption policies, unaddressed by the customer, creating significant vulnerabilities.

Limited visibility and control across dynamic cloud environments also present a significant hurdle. As businesses rapidly deploy new services and resources, maintaining a clear and comprehensive overview of their entire cloud footprint becomes challenging. This can lead to "shadow IT"—unauthorized or unmanaged cloud resources—which operate outside established security governance and introduce unmonitored risks.

Moreover, the persistent cybersecurity skill gap significantly impacts cloud infrastructure security. There's a global shortage of professionals with the specialized expertise required to design, implement, and manage secure cloud architectures. This talent scarcity often forces organizations to rely on more generic security practices that may not adequately address the unique nuances of cloud environments. Lastly, navigating the complex web of compliance and governance requirements across various industries and geographical regions represents an ongoing challenge, demanding continuous auditing and adaptation of security controls.

Connect with Expert Team: https://teleglobals.com/contact-us

Conclusion In 2025, securing cloud infrastructure demands a proactive and comprehensive strategy. Organizations must prioritize robust identity and access management, pervasive data encryption, continuous monitoring for misconfigurations, and a clear understanding of the shared responsibility model. Addressing the inherent complexities, bridging the skill gap, and anticipating the ever-evolving threat landscape will be crucial for maintaining a resilient and secure cloud presence.

[eshare]

Explore the top 10 best practices to ensure scalability in cloud computing with eShare.ai. From choosing the right architecture and load balancing strategies to monitoring usage and automating deployments, these principles help businesses maximize performance, reduce downtime, and scale seamlessly. Perfect for startups and enterprises aiming for efficiency in a digital-first world.

[sharon-ai]

In the fast-paced digital world of today, businesses and industries are relying more than ever on efficient and scalable solutions for managing their infrastructure. One of the most promising innovations is the combination of cloud computing infrastructure and artificial intelligence (AI). Together, they are transforming how we handle infrastructure asset management and optimizing industries such as energy. This blog will explain how these technologies work together and the impacts that they are having across a wide array of sectors, including in the USA energy markets 

What is Cloud Computing Infrastructure?

Cloud computing infrastructure refers to the systems that serve as the basis for delivering cloud services. This may include virtual servers, storage systems, networking capabilities, and databases. They are offered to businesses and consumers through the internet. Instead of having to hold expensive physical infrastructure, a company can use cloud infrastructure solutions to scale its operations very efficiently.

Businesses do not have to be concerned about the capital expenses for on-premise infrastructure maintenance and upgrades. With cloud service provision, organizations are enabled with tools for the management of cloud infrastructure on digital resources to watch out for them seamlessly. With cloud computing in the energy industry, companies run their simulations and manage the output without having to buy large, expensive hardware.

Changing the Face of Computing Infrastructure

The Role of AI Technology

Artificial intelligence (AI refers to computer systems designed to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI is revolutionizing how infrastructure is managed by enabling automated systems to make decisions based on data and real-time analysis.

In the energy industry, for instance, AI technology can be used in analyzing large volumes of data to optimize operations, predict failures, and recommend improvements. Such is vital in industries like US energy markets, where AI solutions can predict market fluctuations, optimize energy distribution, and increase overall efficiency.

Artificial Intelligence in Cloud Computing

When artificial intelligence in cloud computing is introduced, the possibilities expand exponentially. AI-based cloud solutions allow businesses to benefit from AI capabilities without requiring investment in dedicated hardware or a specialized team. For example, companies can utilize AI cloud computing benefits to analyze large data sets stored in the cloud, forecast energy demands, or predict equipment failures in real time.

AI and Cloud Computing for Asset Management

Among the benefits that come from the integration of AI with cloud computing infrastructure is infrastructure asset management. It is complex managing equipment, machines, or even digital services. AI algorithms help in optimizing this by identifying patterns and predicting when assets will require maintenance or replacement.

[daintilyultimateslayer]

CBDC technology partner India

As CBDCs become a global reality, Prodevans equips banks with everything needed to enter the digital currency ecosystem. We provide full-spectrum CBDC implementation — including compliant architecture, token management, real-time reconciliation, secure wallet enablement, and 24/7 L1/L2 support. Trusted for our role in India’s national rollout, we help institutions go beyond pilots to scalable, production-ready platforms ensuring seamless end- user readiness. Our services ensure central bank compliance while delivering performance, observability, and rapid response to evolving regulatory needs. Whether you’re in the pilot phase or preparing for production rollout, Prodevans supports your CBDC journey at every step.

OUR ADDRESS

403, 4TH FLOOR, SAKET CALLIPOLIS, Rainbow Drive, Sarjapur Road, Varthurhobli East Taluk, Doddakannelli, Bengaluru Karnataka 560035

OUR CONTACTS

contact@prodevans.com

+91 97044 56015

[sophiajones3324]

Comprehensive IT Consulting and Solutions to Accelerate Digital Transformation

Fortuneminds is a leading IT consulting firm committed to helping businesses thrive in a fast-paced digital world. Our expert team delivers strategic, scalable, and customized IT consulting and solutions that empower companies to improve efficiency, streamline operations, and embrace innovation. Whether you're modernizing legacy infrastructure, shifting to the cloud, or developing cutting-edge platforms, we guide you through every stage of your digital journey.

We specialize in providing robust IT infrastructure solutions tailored to your business goals. From network architecture and cybersecurity to server virtualization and data center optimization, our end-to-end services ensure your tech backbone is resilient, secure, and ready for growth.

As a future-ready IT service provider, we help you unlock the potential of cloud computing, enabling agility, cost-efficiency, and scalability. Our cloud experts design and implement SaaS (Software as a Service) and PaaS (Platform as a Service) solutions that support rapid deployment, seamless integration, and user-centric functionality. Whether you're migrating to the cloud or building new applications from the ground up, Fortuneminds ensures your transition is smooth and sustainable.

What sets us apart is our ability to provide end-to-end IT services from strategy development and implementation to ongoing maintenance and support. We don’t just deliver technology; we align IT solutions with your core business objectives to create lasting value. Our consulting services cover IT audits, gap analysis, cloud readiness assessments, and full-stack digital enablement.

At Fortuneminds, we believe in forming long-term partnerships built on trust, performance, and shared success. Our flexible engagement models, deep domain expertise, and commitment to innovation make us the preferred partner for enterprises looking to stay competitive and future-proof.

Whether you're a startup, SME, or large enterprise, our team will tailor an approach that meets your needs and accelerates your growth. Discover how our strategic approach to IT consulting and solutions can help your business stay ahead of the curve.

[royalparallaxpendulum]

Seamless Infrastructure Management for Agile Enterprises

Stay ahead in a rapidly evolving digital landscape with INFRASTRUCTURE MANAGEMENT solutions by Writer Information. We provide end-to-end IT infrastructure services that enhance operational efficiency, reduce downtime, and ensure business continuity.

From managing complex networks and servers to offering secure cloud environments and proactive support, our services are designed to deliver real-time monitoring, faster issue resolution, and optimized performance. With a focus on automation, compliance, and scalability, we empower enterprises to run smarter and leaner IT operations across geographies.

Experience uninterrupted service delivery with infrastructure that adapts as your business grows.

[jcmarchi]

Open-Source Platform Cuts Costs for Running AI - Technology Org

New Post has been published on https://thedigitalinsider.com/open-source-platform-cuts-costs-for-running-ai-technology-org/

Open-Source Platform Cuts Costs for Running AI - Technology Org

Cornell researchers have released a new, open-source platform called Cascade that can run artificial intelligence (AI) models in a way that slashes expenses and energy costs while dramatically improving performance.

Artificial intelligence hardware �� artistic interpretation. Image credit: Alius Noreika, created with AI Image Creator

Cascade is designed for settings like smart traffic intersections, medical diagnostics, equipment servicing using augmented reality, digital agriculture, smart power grids and automatic product inspection during manufacturing – situations where AI models must react within a fraction of a second. It is already in use by College of Veterinary Medicine researchers monitoring cows for risk of mastitis.

With the rise of AI, many companies are eager to leverage new capabilities but worried about the associated computing costs and the risks of sharing private data with AI companies or sending sensitive information into the cloud – far-off servers accessed through the internet.

Also, today’s AI models are slow, limiting their use in settings where data must be transferred back and forth or the model is controlling an automated system. 

A team led by Ken Birman, professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, combined several innovations to address these concerns.

Birman partnered with Weijia Song, a senior research associate, to develop an edge computing system they named Cascade. Edge computing is an approach that places the computation and data storage closer to the sources of data, protecting sensitive information. Song’s “zero copy” edge computing design minimizes data movement.

The AI models don’t have to wait to fetch data when reacting to an event, which enables faster responses, the researchers said.

“Cascade enables users to put machine learning and data fusion really close to the edge of the internet, so artificially intelligent actions can occur instantly,” Birman said. “This contrasts with standard cloud computing approaches, where the frequent movement of data from machine to machine forces those same AIs to wait, resulting in long delays perceptible to the user.” 

Cascade is giving impressive results, with most programs running two to 10 times faster than cloud-based applications, and some computer vision tasks speeding up by factors of 20 or more. Larger AI models see the most benefit.

Moreover, the approach is easy to use: “Cascade often requires no changes at all to the AI software,” Birman said.

Alicia Yang, a doctoral student in the field of computer science, was one of several student researchers in the effort. She developed Navigator, a memory manager and task scheduler for AI workflows that further boosts performance.

“Navigator really pays off when a number of applications need to share expensive hardware,” Yang said. “Compared to cloud-based approaches, Navigator accomplishes the same work in less time and uses the hardware far more efficiently.”

In CVM, Parminder Basran, associate research professor of medical oncology in the Department of Clinical Sciences, and Matthias Wieland, Ph.D. ’21, assistant professor in the Department of Population Medicine and Diagnostic Sciences, are using Cascade to monitor dairy cows for signs of increased mastitis – a common infection in the mammary gland that reduces milk production.

By imaging the udders of thousands of cows during each milking session and comparing the new photos to those from past milkings, an AI model running on Cascade identifies dry skin, open lesions, rough teat ends and other changes that may signal disease. If early symptoms are detected, cows could be subjected to a medicinal rinse at the milking station to potentially head off a full-blown infection.

Thiago Garrett, a visiting researcher from the University of Oslo, used Cascade to build a prototype “smart traffic intersection.”

His solution tracks crowded settings packed with people, cars, bicycles and other objects, anticipates possible collisions and warns of risks – within milliseconds after images are captured. When he ran the same AI model on a cloud computing infrastructure, it took seconds to sense possible accidents, far too late to sound a warning.

With the new open-source release, Birman’s group hopes other researchers will explore possible uses for Cascade, making AI applications more widely accessible.

“Our goal is to see it used,” Birman said. “Our Cornell effort is supported by the government and many companies. This open-source release will allow the public to benefit from what we created.”

Source: Cornell University

You can offer your link to a page which is relevant to the topic of this post.

[aishuglb12]

Cisco Research Highlights Major Infrastructure Shift with AI Integration

Cisco’s AI-Powered Network Revolution: Transforming Infrastructure for the Future

In a rapidly evolving technological landscape, Cisco is spearheading a major transformation in network infrastructure through AI integration. Unlike conventional AI applications that focus on consumer products or software automation, Cisco’s approach revolves around building an “AI-native infrastructure” designed to meet the complex demands of enterprise networks and next-gen AI workloads. This shift is not just a technological upgrade but a strategic move to redefine how businesses operate, secure their data, and deliver seamless digital experiences worldwide. This article explores Cisco’s vision, innovations, and the broad impact of this infrastructure revolution.

Table of Contents

Redefining Network Architecture with AI-Native Foundations

AI-Driven Security: Protecting the Future of Enterprise Networks

Enhancing Network Visibility and Automation Through AI Operations

Cisco’s AI Infrastructure Investment

Empowering Businesses and Communities Worldwide

The Path Forward for AI-Enabled Infrastructure

Quotes:

FAQs:

Redefining Network Architecture with AI-Native Foundations

Cisco’s groundbreaking research highlights the urgency of rebuilding network infrastructure to support the exponential growth of AI, IoT, and cloud applications. Rather than merely adding AI tools on top of existing systems, Cisco is pioneering networks architected from the ground up to handle the intense compute, bandwidth, and latency requirements of AI workloads. This includes the development of custom Ethernet fabrics optimized for AI/ML clusters using NVIDIA and AMD GPUs, enabling faster data throughput and real-time analytics.

The initiative began as early as 2023 when Cisco started investing heavily in research and partnerships aimed at designing hardware and software ecosystems that would not only support but accelerate AI adoption. By 2025, Cisco publicly launched a suite of AI-native network products, showcasing how networks can dynamically adapt to data flows, improve reliability, and automate routine tasks.

This architecture matters because traditional networks struggle under the weight of modern AI and cloud demands, often causing bottlenecks and security vulnerabilities. Cisco’s AI-native infrastructure aims to eliminate these challenges by offering scalability, resilience, and intelligent automation, which in turn drives business efficiency and innovation.

AI-Driven Security: Protecting the Future of Enterprise Networks

Security is a core pillar of Cisco’s AI strategy. As cyber threats grow increasingly sophisticated, Cisco leverages AI and machine learning to detect anomalies, prevent breaches, and analyze encrypted traffic without compromising privacy. Their AI-powered security platforms use behavioral analysis to identify threats that traditional systems might miss and enable automatic remediation, reducing response times drastically.

Cisco introduced this integrated security approach alongside their AI-native infrastructure, positioning it as an essential tool for enterprises transitioning to hybrid and multi-cloud environments. This strategy aligns with Cisco’s Zero Trust architecture, which assumes breaches will happen and continuously validates every device and user.

This AI-empowered security not only protects sensitive data but also ensures business continuity, making it a critical enabler for companies worldwide to embrace digital transformation with confidence. It is particularly beneficial for industries like finance, healthcare, and government sectors where data protection is paramount.

Read More : Cisco Research Highlights Major Infrastructure Shift with AI Integration

[jamesthomas43024]

Fortune Minds – End-to-End IT Consulting & Infrastructure Solutions for the Digital Era

Fortune Minds is a trusted IT consulting firm headquartered in Frisco, Texas, dedicated to delivering innovative, scalable, and future-ready technology solutions to businesses across industries. With a focus on digital transformation, we offer end-to-end IT services that encompass everything from strategic consulting to seamless technology implementation and long-term support.

As a full-service IT service provider, Fortune Minds specializes in designing and deploying robust IT infrastructure solutions tailored to meet the evolving needs of enterprises. Whether you're modernizing legacy systems, migrating to the cloud, or integrating automation into your workflow, our team of certified professionals delivers the expertise and agility required to drive success.

Our core service areas include cloud computing, SaaS (Software as a Service), PaaS (Platform as a Service), DevOps, ServiceNow implementations, cybersecurity, data analytics, and application development. We work closely with clients to assess their current IT landscape, identify pain points, and implement customized solutions that improve performance, reduce operational costs, and boost business continuity.

At Fortune Minds, we believe in offering more than just services—we deliver strategic IT consulting and solutions that enable sustainable growth and operational excellence. Our global presence and a highly skilled team allow us to support organizations across North America, Europe, and APAC regions.

With over a decade of proven results and a reputation for reliability, Fortune Minds is your partner in navigating complex IT challenges and capitalizing on the opportunities of the digital age. Whether you’re a startup scaling rapidly or an enterprise modernizing operations, our IT consulting firm is committed to helping you succeed today and into the future.