#data center infrastructure

[eninrac-consulting]

Unveiling the Backbone: Data Center Infrastructure in the Era of Digital Transformation

Discover the pivotal role of data center infrastructure in driving digital transformation. As businesses embrace technological innovation, robust and scalable data center solutions become essential for managing vast amounts of data and facilitating seamless operations. Explore how modern data center infrastructure lays the groundwork for agility, scalability, and reliability, enabling organizations to harness the power of data to fuel their digital journey and stay ahead in today's competitive landscape.

[pebblegalaxy]

Reimagining the Energy Landscape: AI's Growing Hunger for Computing Power #BlogchatterA2Z

Reimagining the Energy Landscape: AI's Growing Hunger for Computing Power #BlogchatterA2Z #AIdevelopment #energyConsumption #DataCenterInfrastructure #ArmHoldings #energyEfficiency #SustainableTechnology #RenewableEnergy #EdgeComputing #RegulatoryMeasures

Navigating the Energy Conundrum: AI’s Growing Hunger for Computing Power In the ever-expanding realm of artificial intelligence (AI), the voracious appetite for computing power threatens to outpace our energy sources, sparking urgent calls for a shift in approach. According to Rene Haas, Chief Executive Officer of Arm Holdings Plc, by the year 2030, data centers worldwide are projected to…

[sttgdc]

STT GDC: Data Centre Provider in India

Empowering businesses with secure and sustainable data solutions. Discover STT GDC’s data centres in India

https://www.sttelemediagdc.com/in-en

[cbreindia]

How CBRE is Shaping the Data Center solution Landscape in India

A data center is a building or a dedicated space within a building that incorporates  computer systems to provide shared access to applications and data using a complex network and storage infrastructure. The rapid growth of technology and the digital revolution have led to an exponential increase in the demand for data centers worldwide. As India emerges as a major player in the global technology sector, the need for robust and efficient data center solutions has become paramount. The increasing demand for digital services, cloud computing, and the rapid expansion of the internet and mobile networks gave birth to the Data Center as a leading alternative real estate segment.

CBRE India shaping Data center

CBRE India, a commercial real estate services and investment agency is shaping the Data Center solution landscape in India by providing end to end solutions in terms of  building, developing, buying, selling or managing a data center. It also serves the entire real estate and IT processes of a Data Center, including advisory, transaction, project management and facilities management disciplines. Through their project management services, CBRE India ensures the timely and efficient execution of data center construction projects, adhering to international standards and best practices. 

DC growth in Mumbai

Mumbai is the  biggest DC market in India with 40% of the total capacity. Mumbai has a robust infrastructure in terms of power supply and  telecommunications network and is also home to numerous financial institutions and MNCs. Due to these factors and the growth of internet users and government propelled initiatives like "Digital India" and "Smart Cities Mission", the Data Center in Mumbai is a thriving segment. 

DC crossing threshold

Data Center companies in India will soar high in the market with the size of $4.5 billion by 2025, becoming a significant contributor in the global economy. Investment in this sector is expected to grow to USD 20 million by 2025. Around 250 MW of additional data center capacity is expected to come online, thus taking the total co-location capacity in India to 1.15 GW.

DC Services by CBRE India

CBRE India is revolutionising the data center industry by providing impeccable services in market analysis and insights, expertise and consultancy on infrastructure development, adoption of energy efficient practices for sustainability and implementing cutting-edge solutions like edge computing, AI-driven automation, and advanced cooling techniques for future readiness and innovation. CBRE India assists investors and operators in identifying potential locations, gauging demand-supply dynamics and understanding customer requirements. 

Out and out, the Data Center solution is going through the phase of territory expansion with the traction in demand as well as investment for data center companies in India, all thanks to digitization. Given the data center market is evolving at an unprecedented pace, Data Center companies in India are looking forward to a state of the art infrastructure which makes CBRE a pioneer in the business.

[betagrove]

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

[kimludcom]

Kenya gives EastAfrica earthquakes with these mega projects|2024 @Kimlud

[ict-design-consultant]

[peterbordes]

Aramco Digital, the digital and technology subsidiary of @aramco and @GroqInc a leader in #AI inference and creator of the Language Processing Unit (LPU), announced their partnership to establish the world’s largest inferencing data center in Saudi Arabia.

[radiantinfosolutions]

The Role of IP KVM Switches in Enhancing Data Center Efficiency

Learn how IP KVM switches enhance data center efficiency. Explore Radiant and Vertiv's advanced IP KVM solutions available in India.

[jatinbansalblog]

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[eninrac-consulting]

Building the Backbone: Navigating the Data Center Infrastructure Landscape

Data center infrastructure comprises the physical and virtual components essential for the storage, processing, and management of data in a centralized facility. This includes servers, storage systems, networking equipment, cooling systems, and power supply mechanisms. The robustness, scalability, and efficiency of data center infrastructure are critical for supporting the growing demands of digital services, cloud computing, and big data analytics. With the increasing reliance on data-driven technologies, optimizing data center infrastructure becomes imperative for ensuring performance, reliability, and business continuity in the digital age.

[pebblegalaxy]

VergeIO Launches 24/7 VMware Migration Labs: Seamless, Hands-On Virtualization Experience @VergeIO_Inc #VMwareMigration #UltraconvergedInfrastructure

VergeIO Unveils Revolutionary 24/7 Self-Paced Hands-On VMware Migration Labs September 17, 2024 — Ann Arbor, Michigan — VergeIO, a pioneer in ultraconverged infrastructure (UCI), has launched a suite of innovative, self-paced hands-on labs aimed at transforming the way IT professionals migrate from VMware to VergeOS. In collaboration with TechAccelerator, VergeIO’s new lab offerings provide a…

[cbreindia]

Exploring the Growth of Data Centers in India: Opportunities and Challenges

India has seen tremendous growth in the data center industry in recent years. The increasing adoption of cloud computing, big data analytics, and the Internet of Things (IoT) has driven the demand for data centers in the country. Let’s explore the growth of data centers in India, the opportunities and challenges they present, and the future of the industry.

Data Centers in India:

India is one of the fastest-growing markets for data centers in the world. The country has a large and diverse population, with a growing number of internet users, which has resulted in an exponential increase in data traffic. According to a report by CRISIL, India's data center industry is expected to grow at a CAGR of 23% between 2020 and 2025, reaching a market size of $4.5 billion by 2025.

Cloud Computing and Data Center Infrastructure:

The adoption of cloud computing has been a major driver of the growth of data centers in India. As more and more organizations move their operations to the cloud, they require reliable, secure, and scalable data center infrastructure to store and manage their data. This has led to the development of world-class data center infrastructure in India, with several international companies setting up their facilities in the country often supported by CBRE India.

Data Center Companies in India:

Several companies in India offer data center services, including colocation, managed hosting, cloud services, and disaster recovery. Some of the major players in the Indian data center market include Tata Communications, Netmagic, CtrlS, Sify, and Reliance Communications. These companies are investing heavily in expanding their infrastructure to meet the growing demand for data center services in India. Data Centers in Mumbai:

Mumbai is one of the key data center hubs in India, with several companies offering state-of-the-art facilities in the city. Mumbai's strategic location, excellent connectivity, and favorable business environment make it an ideal location for data center companies. Additionally, the Maharashtra government has launched several initiatives to promote the development of data centers in the state, including the Data Center Policy 2018.

Challenges and Opportunities:

The growth of data centers in India also presents several challenges, such as power and cooling requirements, network connectivity, and security. However, these challenges also create opportunities for innovation and development. Indian companies are leveraging technologies such as artificial intelligence, blockchain, and edge computing to overcome these challenges and provide cutting-edge data center services to their clients.In conclusion, the growth of data centers in India presents significant opportunities for businesses and investors, who rely on CBRE India for their deep market knowledge. With a large and growing market, world-class infrastructure, and a favorable business environment, India is poised to become a major player in the global data center industry.

[jcmarchi]

Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series

New Post has been published on https://thedigitalinsider.com/shaktiman-mall-principal-product-manager-aviatrix-interview-series/

Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series

Shaktiman Mall is Principal Product Manager at Aviatrix. With more than a decade of experience designing and implementing network solutions, Mall prides himself on ingenuity, creativity, adaptability and precision. Prior to joining Aviatrix, Mall served as Senior Technical Marketing Manager at Palo Alto Networks and Principal Infrastructure Engineer at MphasiS.

Aviatrix is a company focused on simplifying cloud networking to help businesses remain agile. Their cloud networking platform is used by over 500 enterprises and is designed to provide visibility, security, and control for adapting to changing needs. The Aviatrix Certified Engineer (ACE) Program offers certification in multicloud networking and security, aimed at supporting professionals in staying current with digital transformation trends.

What initially attracted you to computer engineering and cybersecurity?

As a student, I was initially more interested in studying medicine and wanted to pursue a degree in biotechnology. However, I decided to switch to computer science after having conversations with my classmates about technological advancements over the preceding decade and emerging technologies on the horizon.

Could you describe your current role at Aviatrix and share with us what your responsibilities are and what an average day looks like?

I’ve been with Aviatrix for two years and currently serve as a principal product manager in the product organization. As a product manager, my responsibilities include building product vision, conducting market research, and consulting with the sales, marketing and support teams. These inputs combined with direct customer engagement help me define and prioritize features and bug fixes.

I also ensure that our products align with customers’ requirements. New product features should be easy to use and not overly or unnecessarily complex. In my role, I also need to be mindful of the timing for these features – can we put engineering resources toward it today, or can it wait six months? To that end, should the rollout be staggered or phased into different versions? Most importantly, what is the projected return on investment?

An average day includes meetings with engineering, project planning, customer calls, and meetings with sales and support. Those discussions allow me to get an update on upcoming features and use cases while understanding current issues and feedback to troubleshoot before a release.

What are the primary challenges IT teams face when integrating AI tools into their existing cloud infrastructure?

Based on real-world experience of integrating AI into our IT technology, I believe there are four challenges companies will encounter:

Harnessing data & integration: Data enriches AI, but when data is across different places and resources in an organization, it can be difficult to harness it properly.

Scaling: AI operations can be CPU intensive, making scaling challenging.

Training and raising awareness: A company could have the most powerful AI solution, but if employees don’t know how to use it or don’t understand it, then it will be underutilized.

Cost: For IT especially, a quality AI integration will not be cheap, and businesses must budget accordingly.

Security: Make sure that the cloud infrastructure meets security standards and regulatory requirements relevant to AI applications

How can businesses ensure their cloud infrastructure is robust enough to support the heavy computing needs of AI applications?

There are multiple factors to running AI applications. For starters, it’s critical to find the right type and instance for scale and performance.

Also, there needs to be adequate data storage, as these applications will draw from static data available within the company and build their own database of information. Data storage can be costly, forcing businesses to assess different types of storage optimization.

Another consideration is network bandwidth. If every employee in the company uses the same AI application at once, the network bandwidth needs to scale – otherwise, the application will be so slow as to be unusable. Likewise, companies need to decide if they will use a centralized AI model where computing happens in a single place or a distributed AI model where computing happens closer to the data sources.

With the increasing adoption of AI, how can IT teams protect their systems from the heightened risk of cyberattacks?

There are two main aspects to security every IT team must consider. First, how do we protect against external risks? Second, how do we ensure data, whether it is the personally identifiable information (PII) of customers or proprietary information, remains within the company and is not exposed? Businesses must determine who can and cannot access certain data. As a product manager, I need sensitive information others are not authorized to access or code.

At Aviatrix, we help our customers protect against attacks, allowing them to continue adopting technologies like AI that are essential for being competitive today. Recall network bandwidth optimization: because Aviatrix acts as the data plane for our customers, we can manage the data going through their network, providing visibility and enhancing security enforcement.

Likewise, our distributed cloud firewall (DCF) solves the challenges of a distributed AI model where data gets queried in multiple places, spanning geographical boundaries with different laws and compliances. Specifically, a DCF supports a single set of security compliance enforced across the globe, ensuring the same set of security and networking architecture is supported. Our Aviatrix Networks Architecture also allows us to identify choke points, where we can dynamically update the routing table or help customers create new connections to optimize AI requirements.

How can businesses optimize their cloud spending while implementing AI technologies, and what role does the Aviatrix platform play in this?

One of the main practices that will help businesses optimize their cloud spending when implementing AI is minimizing egress spend.

Cloud network data processing and egress fees are a material component of cloud costs. They are both difficult to understand and inflexible. These cost structures not only hinder scalability and data portability for enterprises, but also provide decreasing returns to scale as cloud data volume increases which can impact organizations’ bandwidth.

Aviatrix designed our egress solution to give the customer visibility and control. Not only do we perform enforcement on gateways through DCF, but we also do native orchestration, enforcing control at the network interface card level for significant cost savings. In fact, after crunching the numbers on egress spend, we had customers report savings between 20% and 40%.

We’re also building auto-rightsizing capabilities to automatically detect high resource utilization and automatically schedule upgrades as needed.

Lastly, we ensure optimal network performance with advanced networking capabilities like intelligent routing, traffic engineering and secure connectivity across multi-cloud environments.

How does Aviatrix CoPilot enhance operational efficiency and provide better visibility and control over AI deployments in multicloud environments?

Aviatrix CoPilot’s topology view provides real-time network latency and throughput, allowing customers to see the number of VPC/VNets. It also displays different cloud resources, accelerating problem identification. For example, if the customer sees a latency issue in a network, they will know which assets are getting affected. Also, Aviatrix CoPilot helps customers identify bottlenecks, configuration issues, and improper connections or network mapping. Furthermore, if a customer needs to scale up one of its gateways into the node to accommodate more AI capabilities, Aviatrix CoPilot can automatically detect, scale, and upgrade as necessary.

Can you explain how dynamic topology mapping and embedded security visibility in Aviatrix CoPilot assist in real-time troubleshooting of AI applications?

Aviatrix CoPilot’s dynamic topology mapping also facilitates robust troubleshooting capabilities. If a customer must troubleshoot an issue between different clouds (requiring them to understand where traffic was getting blocked), CoPilot can find it, streamlining resolution. Not only does Aviatrix CoPilot visualize network aspects, but it also provides security visualization components in the form of our own threat IQ, which performs security and vulnerability protection. We help our customers map the networking and security into one comprehensive visualization solution.

We also help with capacity planning for both cost with costIQ, and performance with auto right sizing and network optimization.

How does Aviatrix ensure data security and compliance across various cloud providers when integrating AI tools?

AWS and its AI engine, Amazon Bedrock, have different security requirements from Azure and Microsoft Copilot. Uniquely, Aviatrix can help our customers create an orchestration layer where we can automatically align security and network requirements to the CSP in question. For example, Aviatrix can automatically compartmentalize data for all CSPs irrespective of APIs or underlying architecture.

It is important to note that all of these AI engines are inside a public subnet, which means they have access to the internet, creating additional vulnerabilities because they consume proprietary data. Thankfully, our DCF can sit on a public and private subnet, ensuring security. Beyond public subnets, it can also sit across different regions and CSPs, between data centers and CSPs or VPC/VNets and even between a random site and the cloud. We establish end-to-end encryption across VPC/VNets and regions for secure transfer of data. We also have extensive auditing and logging for tasks performed on the system, as well as integrated network and policy with threat detection and deep packet inspection.

What future trends do you foresee in the intersection of AI and cloud computing, and how is Aviatrix preparing to address these trends?

I see the interaction of AI and cloud computing birthing incredible automation capabilities in key areas such as networking, security, visibility, and troubleshooting for significant cost savings and efficiency.

It could also analyze the different types of data entering the network and recommend the most suitable policies or security compliances. Similarly, if a customer needed to enforce HIPAA, this solution could scan through the customer’s networks and then recommend a corresponding strategy.

Troubleshooting is a major investment because it requires a call center to assist customers. However, most of these issues don’t necessitate human intervention.

Generative AI (GenAI) will also be a game changer for cloud computing. Today, a topology is a day-zero decision – once an architecture or networking topology gets built, it is difficult to make changes. One potential use case I believe is on the horizon is a solution that could recommend an optimal topology based on certain requirements. Another problem that GenAI could solve is related to security policies, which quickly become outdated after a few years. AGenAI solution could help users routinely create new security stacks per new laws and regulations.

Aviatrix can implement the same security architecture for a datacenter with our edge solution, given that more AI will sit close to the data sources. We can help connect branches and sites to the cloud and edge with AI computes running.

We also help in B2B integration with different customers or entities in the same company with separate operating models.

AI is driving new and exciting computing trends that will impact how infrastructure is built. At Aviatrix, we’re looking forward to seizing the moment with our secure and seamless cloud networking solution.

Thank you for the great interview, readers who wish to learn more should visit Aviatrix. 

[marketdevelopment]

(via Data Center Infrastructure Management (DCIM) System Market Report | IMR)

[aadeshmmr]

Data center infrastructure management (DCIM) is the combination of IT and facilities management that monitors, evaluates, and controls high-end data center facilities across multiple domains within an organization to increase data center energy efficiency.