Synopsis: India’s AI and data centre ecosystem had a landmark week, with a wave of big announcements, strategic tie-ups, and massive investment signals pointing to a rapid build-out of digital infrastructure. The momentum reflects rising ambition across the sector and hints at a transformative phase now underway.
India’s artificial intelligence and data centre ecosystem witnessed a historic week, with a wave of announcements spanning new technology launches, major partnerships, large infrastructure plans, and unprecedented investment commitments. The developments highlight how quickly the country is scaling its digital backbone and positioning itself for the next phase of global technology growth. Let us look at what went down this week.
Netweb Technologies Rolls Out New AI Supercomputers
Netweb Technologies India Ltd announced a major step forward in India’s high-performance computing ecosystem with the launch of its ‘Make in India’ AI Supercomputer, the Tyrone Camarero GB200 System, along with the petascale personal compute system Tyrone Camarero Spark. The company introduced what it calls a new class of AI computing for India through the Tyrone Camarero Spark, which is among the world’s smallest AI supercomputers and delivers NVIDIA’s full AI stack in a compact desktop form factor.
The system integrates NVIDIA Blackwell GPUs, NVIDIA Grace CPUs, NVIDIA networking, NVIDIA CUDA-X libraries, and the NVIDIA AI software stack to accelerate agentic and physical AI development for millions of developers in India. It delivers one petaflop of AI performance and includes 128GB of unified memory, enabling developers to run inference on AI models with up to 200 billion parameters and locally fine-tune models of up to 70 billion parameters. The system also allows developers to build AI agents and run advanced software stacks entirely on-premises.
Netweb also announced Tyrone AI supercomputing systems based on NVIDIA Grace Blackwell platforms, designed and manufactured in India, further strengthening the Make in India initiative. Built on the NVIDIA GB200 NVL4 platform, the architecture combines four NVIDIA Blackwell GPUs connected through an NVLink bridge and two NVIDIA Grace CPUs connected via NVLink-C2C, delivering up to two times performance improvement over the previous generation for scientific computing, AI model training, and inference.
The Tyrone Camarero GB200 AI System introduces several advanced technologies to enable AI training and real-time large language model inference for models scaling up to 10 trillion parameters. These include NVIDIA GB200 NVL4 based on one of the world’s most powerful AI chips, second-generation Transformer Engine, fifth-generation NVLink, RAS Engine, secure AI with confidential computing, and a Decompression Engine.
E2E Networks Partners L&T-Vyoma To Expand GPU Cloud Capacity
E2E Networks announced that it has signed a Memorandum of Understanding with Larsen & Toubro-Vyoma to collaborate on expanding and scaling L&T-Vyoma’s GPU cloud infrastructure and enable its commercialization through E2E’s AI-native cloud platform. The partnership aims to accelerate the deployment of sovereign, high-performance GPU capacity in India in line with national AI goals.
Subject to final agreements, GPU infrastructure and computing capacity procured, owned, or deployed by Larsen & Toubro-Vyoma is expected to be integrated into E2E’s proprietary cloud and orchestration platform. This integration will be supported by E2E’s Technology Integration & Runtime platform, which will deliver an optimized and performance-focused GPU cloud with enhanced observability, workload intelligence, and predictable performance for enterprise and AI workloads.
The collaboration will focus on technical integration, commercial structuring, pricing frameworks, and operational alignment to ensure scalable, reliable, and efficient delivery of GPU infrastructure at scale. It brings together Larsen & Toubro-Vyoma’s infrastructure execution capabilities with E2E’s AI-ready cloud platform and high-performance computing ecosystem, with the shared goal of strengthening India’s sovereign AI, GPU, and advanced computing capacity. L&T owns 18.85 percent stake in E2E Networks.
HCLTech Launches VisionX 2.0 With NVIDIA AI Stack
HCLTech announced VisionX 2.0, an upgraded version of its multi-modal AI edge platform designed to deliver real-time intelligence, improved safety, and higher operational efficiency for mission-critical industrial environments. The platform builds on HCLTech’s Intelligent Secure Edge capabilities and integrates advanced computer vision, vision language models, multi-modal fusion, and edge-optimised generative AI. It uses NVIDIA’s physical AI computing stack, including NVIDIA Blueprint for video search and summarization, NVIDIA DeepStream, NVIDIA Cosmos Reason VLM, and NVIDIA TAO for post-training vision models to deliver high performance.
VisionX 2.0 is built specifically for demanding industrial use cases and introduces several new capabilities. It enables real-time inference at the edge using NVIDIA Jetson, NVIDIA RTX PRO 6000 Blackwell GPUs, and Dell NativeEdge deployments, helping eliminate bandwidth bottlenecks, protect data privacy, and support sensitive industrial operations. The platform includes a multi-modal AIoT engine that can analyse video, audio, images, LiDAR, stereo cameras, and IoT telemetry to detect events, anomalies, safety violations, and risks with high accuracy.
It also features a VSS Event Reviewer, where selected computer vision clips are sent to NVIDIA Cosmos Reason to identify false positives and apply additional natural language reasoning to generate scene-level insights and improve decision confidence. VisionX 2.0 includes zero-trust edge security with Zero-Trust architecture and Zero-Touch Provisioning on Dell NativeEdge OS, enabling secure and scalable deployments across distributed sites. The platform is designed for seamless integration with existing cameras, video management systems, and sensors through a flexible integration layer.
L&T Plans Gigawatt AI Data Centre With NVIDIA
Larsen & Toubro announced a proposed venture under the India AI Mission to build sovereign, scalable gigawatt-scale NVIDIA AI factory infrastructure aimed at strengthening India’s position as a global AI hub. The initiative combines L&T’s engineering and execution capabilities with NVIDIA’s AI infrastructure, including GPUs, CPUs, networking, accelerated storage platforms, the NVIDIA AI Enterprise software stack, and reference architectures to enable rapid and secure AI adoption. The venture will deploy AI-ready data centre infrastructure and advanced computing platforms to support large-scale AI workloads across priority sectors while enabling critical data, models, and workloads to be built and deployed within India while remaining interoperable with global ecosystems.
The project plans to develop gigawatt-scale AI data centre factories to provide high-density capacity for next-generation workloads, serving domestic demand as well as global hyperscalers, cloud providers, and enterprises. It will scale NVIDIA GPU cluster deployments at L&T’s Chennai data centre to 30 megawatts within its 300-acre gigawatt-scalable campus and at a new 40 megawatt data centre in Mumbai currently under development, enabling customers to expand efficiently and sustainably.
Through the AI factory model, the venture aims to deliver advanced AI services to global customers, hyperscalers, and Indian enterprises across sectors including manufacturing, infrastructure, energy, financial services, healthcare, and public services, helping move from experimentation to production-scale deployment. It will also enable L&T and its group companies to deploy live AI agents on a Sovereign Cloud, supporting innovation through LTTS’s Lights-Out Factory framework using NVIDIA Omniverse libraries, LTM’s Blueverse platform, LTFS’s agentic AI deployments, and L&T’s internally developed AI agents.
TCS And OpenAI Announce Strategic AI Partnership
Tata Consultancy Services, and OpenAI announced a multi-dimensional strategic partnership aimed at driving AI-led innovation across enterprise, consumer, and social sectors. The collaboration will focus on enabling AI innovation across Tata Group companies, working together to accelerate AI transformation across industries globally, and building AI infrastructure.
As part of the partnership, several thousand Tata Group employees will gain access to Enterprise ChatGPT to improve productivity and innovation, while TCS will use OpenAI’s Codex to enhance software engineering outcomes. The companies will also work together to develop industry-specific agentic AI solutions by combining OpenAI’s advanced AI capabilities with TCS’s industry knowledge and deep AI expertise. In addition, TCS and OpenAI will collaborate on joint go-to-market initiatives to help Indian and global enterprises adopt AI solutions tailored to their specific needs, with TCS supporting customers in deploying, integrating, and scaling OpenAI’s platforms worldwide.
The partnership also includes a multi-year agreement between TCS’s HyperVault unit and OpenAI to develop AI infrastructure in India, starting with 100 megawatts of capacity and with the potential to scale up to 1 gigawatt. This infrastructure is expected to support next-generation AI workloads and strengthen India’s position as a global AI hub. On the social impact front, the OpenAI Foundation and TCS will work together to provide AI training and resources to Indian youth, develop technology toolkits for NGOs, and launch initiatives aimed at helping at least one million young people improve their livelihoods through responsible and effective use of AI.
Sam Altman, CEO, OpenAI, said, “India is already leading the way in AI adoption, and with its talent, ambition, and strong government support, it is well placed to help shape its future. Through OpenAI for India and our partnership with Tata Group, we’re working together to build the infrastructure, skills, and local partnerships needed to build AI with India, for India, and in India, so that more people across the country can access and benefit from it.”
TCS Expands AI Push With Cisco Partnership
Tata Consultancy Services announced a partnership with Cisco to set up a Center of Excellence in Hyderabad focused on Autonomous Enterprise Operations. The centre is designed to help organisations transition from rule-based automation to intelligent, self-governing operations that can understand context in real time and take actions independently. By enabling zero-touch operations, the initiative aims to reduce operational complexity and deliver stronger business outcomes by removing friction in existing IT environments.
Located at the TCS Synergy Park campus in Hyderabad, the CoE will serve as an experience hub to develop solutions that make AI more practical for customers. It will help organisations achieve higher levels of autonomy using the TCS five-level Services Autonomy Model and will combine the strengths of TCS and Cisco to create next-generation AI-first solutions across industries. The centre will also showcase contextualised offerings tailored to specific business processes.
The shift toward autonomous operations will be powered by an agentic AI mesh that allows systems to sense and interpret behavioural states in real time through observability, assist and automate using conversational AI layers, and orchestrate and self-heal through intelligent automation frameworks. The initiative represents a broader shift in how IT supports business goals, moving the focus from IT performance metrics alone to business outcomes and helping organisations transition from siloed operations to more integrated, experience-focused models.
Tim Coogan, Senior Vice President, Global Partner Sales at Cisco, said, “The Center of Excellence is a testament to the strength of our longstanding partnership with TCS. By combining Cisco’s AI-driven technology with TCS’ deep industry expertise, we are empowering our mutual customers to accelerate their journey toward autonomous operations and achieve unprecedented business agility.”
TCS Expands AI Infrastructure Partnership With AMD
Tata Consultancy Services and AMD announced an expansion of their strategic collaboration to co-develop rack-scale AI infrastructure in India. Through its subsidiary HyperVault AI Data Center Limited, TCS will work with AMD to design a rack-scale AI infrastructure based on the AMD “Helios” platform to support India’s national AI initiatives. The platform will be powered by AMD Instinct MI455X GPUs, next-generation AMD EPYC “Venice” CPUs, AMD Pensando Vulcano NICs, and the open ROCm software ecosystem, and is designed to support sovereign AI factories. Combined with TCS’ enterprise expertise and scale, the Helios platform aims to accelerate deployment and improve operational efficiency for enterprises.
As part of the collaboration, the companies will offer an AI-ready data centre blueprint supporting up to 200 megawatts of capacity and will work with hyperscalers and AI companies to speed up data centre development in India. TCS had established HyperVault in 2025 with the goal of delivering gigawatt-scale, secure, and reliable AI-ready infrastructure for hyperscalers, AI companies, and global enterprises. The announcement also builds on their earlier partnership focused on helping enterprises scale AI adoption and modernise hybrid environments.
Dr. Lisa Su, Chair and CEO of AMD, said, “AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure. With ‘Helios,’ we are delivering an open, rack-scale AI platform designed for performance, efficiency, and long-term flexibility. Together with TCS, we are enabling enterprises across India to deploy AI at scale today while building the compute foundation of tomorrow.”
Infosys Teams Up With Anthropic For Agentic AI Push
Infosys announced a strategic collaboration with Anthropic to develop advanced enterprise AI solutions across telecommunications, financial services, manufacturing, and software development. The partnership will begin in the telecom sector with a dedicated Anthropic Center of Excellence focused on building AI agents tailored to industry operations, with plans to expand into other sectors. The collaboration combines Anthropic’s Claude models, including Claude Code, with Infosys Topaz AI to help enterprises automate complex workflows, accelerate software delivery, and adopt AI with strong governance and transparency. A major focus is on agentic AI systems that can independently handle multi-step tasks such as claims processing, code generation, and compliance reviews, while also helping organisations modernise legacy systems and reduce upgrade costs.
Infosys and Anthropic will develop custom AI agents for different industries. In telecom, the agents will help modernise network operations and improve customer lifecycle management. In financial services, they will support faster risk detection, automate compliance reporting, and enable more personalised customer interactions. In manufacturing and engineering, Claude will accelerate product design and simulation, while in software development teams will use Claude Code to write, test, and debug software more efficiently. Infosys is already deploying Claude Code internally within its Exponential Engineering organisation to build expertise and best practices for client engagements.
Reliance Commits USD 110 Billion To AI And Data Centres
Reliance Industries, led by Asia’s richest person Mukesh Ambani, is significantly accelerating its artificial intelligence expansion plans by committing 10 trillion rupees, or about USD 110 billion, to build data centres and related infrastructure across India over the next seven years.
Along with developing gigawatt-scale data centres, the conglomerate also plans to invest in renewable energy to support the growing use of AI across the country. Speaking at the India AI Impact Summit in New Delhi, Ambani said the company’s goal is to make artificial intelligence affordable for everyone in India. “India cannot afford to rent intelligence,” he said. “Therefore, we will reduce the cost of intelligence dramatically as we did the cost of data.”
Ambani added that the biggest constraint facing AI today is not a shortage of talent but the limited availability and high cost of computing power. Through its newly formed unit, Jio Intelligence, the group has started building multi-gigawatt AI-ready data centres in Jamnagar, Gujarat. The first phase, with about 120 megawatts of capacity, is expected to become operational in the second half of this year.
Adani Commits USD 100 Billion To AI Infrastructure
The Adani Group announced plans to invest USD 100 billion to build artificial intelligence data centres in India by 2035, with the facilities powered by renewable energy. The company said the investment is aimed at helping India become a global leader in AI by creating the required energy and computing infrastructure.
According to the company, this initial investment could trigger an additional USD 150 billion in related industries by 2035, including server manufacturing, electrical systems, and cloud platforms. Together, this could create around USD 250 billion worth of AI infrastructure in India over the next decade.
Gautam Adani, chairman of the Adani Group, said that countries that control both energy and computing power will lead in the future. “At Adani, we are building on our foundation in data centres and green energy to expand into the complete five-layer AI stack focused on India’s technological sovereignty. India will not be a mere consumer in the AI age,” he said in a prepared statement.
The plan builds on AdaniConnex’s existing 2 gigawatt data centre network, with a target to expand capacity to 5 gigawatts. The group is working with Google to develop a large AI data centre campus in Visakhapatnam and has partnerships with Microsoft in Hyderabad and Pune. It will also expand its collaboration with Flipkart to support the company’s ecommerce and AI requirements.
India Joins US-Led Pax Silica AI Alliance
India is set to join Pax Silica, a US-led strategic alliance launched in December 2025 to secure global artificial intelligence and semiconductor supply chains, with the aim of reducing dependence on non-aligned nations. India and the United States signed the Pax Silica Declaration on 20th February 2025, according to the US Embassy in New Delhi.
The Pax Silica initiative was launched to build a secure, resilient, and innovation-driven supply chain for critical minerals and AI technologies. The signing comes shortly after Helberg said the US is discussing a critical minerals price floor system with allies and partners. The initiative represents another step by the United States and its partners to protect Western companies from pressure from China in these markets.
The Pax Silica Summit was held in Washington on December 12, where partner countries signed the declaration outlining a shared vision of deeper economic and technology cooperation across supply chains, covering everything from raw materials to semiconductors and AI infrastructure, with a focus on mutual prosperity and security. Member countries include Australia, Greece, Israel, Japan, Qatar, the Republic of Korea, Singapore, the United Arab Emirates, and the United Kingdom. US Ambassador Sergio Gor had announced last month that India was invited to join the alliance.
One of the key pillars of Pax Silica is to establish a durable economic framework to drive AI-led growth across partner nations. The declaration states, “We recognise that a reliable supply chain is indispensable to our mutual economic security. We also recognize that artificial intelligence represents a transformative force for our long-term prosperity and that trustworthy systems are essential to safeguarding our mutual security and prosperity.”
At the signing ceremony, Google and Alphabet CEO Sundar Pichai said, “Pax Silica focuses on making sure that the supply chains are safe and secure and encourages greater commercial partnerships across key technologies. So let me congratulate the US and India on this historic moment. Alongside the recent trade agreement, this will lay a strong foundation for a robust US-India tech partnership for many years to come.”
Yotta To Build One Of Asia’s Largest AI Superclusters With NVIDIA
Unlisted player, Yotta Data Services announced plans to deploy 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs, creating one of the largest AI superclusters in Asia. The project involves an investment of more than USD 2 billion and is expected to go live by August 2026, placing India among a small group of countries capable of hosting frontier-scale AI infrastructure.
In another key development highlighting deeper technology collaboration between India and the United States, NVIDIA will set up one of the largest NVIDIA DGX Cloud clusters in the Asia-Pacific region within Yotta’s HGX B300 Blackwell Ultra supercluster. The deployment will use Blackwell Ultra GPUs under a four-year agreement valued at over USD 1 billion. NVIDIA DGX Cloud has already been using Yotta’s GPU infrastructure over the past year, and this expansion significantly scales up that partnership to meet rising regional and global demand.
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