Novacore Innovations has deployed India’s first GPU cloud powered by NVIDIA Blackwell servers, marking a transformative milestone for the nation’s AI infrastructure and global competitiveness. The Mumbai-headquartered company secured ₹44.6 crore ($5.1 million) in financing led by Rashi Fincorp, with participation from U.S. and Abu Dhabi partners, to fund its groundbreaking Hyderabad-based project.
Strategic Market Positioning
Founded in late 2024 by San Francisco-based Ranbir Badwal and Mumbai-based Aryamaan Singhania, Novacore leverages India’s competitive electricity costs, skilled technical workforce, and Hyderabad’s robust power grid ecosystem. The company targets three high-growth markets: India’s startups, U.S. innovators, and Middle East organizations.
Customers benefit from lower costs, rapid provisioning, and scalable GPU power for generative AI, large language models, scientific computing, and real-time analytics. To accelerate adoption, Novacore offers complimentary trials of Blackwell clusters to qualifying startups and research labs across all three regions.
NVIDIA B200: Technical Superiority
The platform’s foundation rests on NVIDIA’s B200 server, Blackwell’s successor to the H100/H200 architecture. This technical marvel delivers up to 2.3 times higher peak performance and double the real-world AI speed compared to previous-generation hardware.
The B200 features 192GB HBM3e memory with 8TB/s bandwidth, enabling trillion-parameter model training at unprecedented scale. Fifth-generation tensor cores and dual transformer engines accelerate training up to 3 times faster while boosting inference throughput by as much as 15 times. The system delivers 25 times greater energy efficiency, substantially reducing operational costs.
Why This Matters Now
India’s AI-as-a-service market is projected to surge from $7.84 billion in 2025 to $31.94 billion by 2031, representing a compound annual growth rate of 26.37%. This expansion is driven by government initiatives including the National AI Mission and AI Centers of Excellence, which are accelerating adoption across healthcare, finance, agriculture, and education sectors.
India’s AI adoption rate of 30% already exceeds the global average of 26%, demonstrating the country’s rapid embrace of transformative technologies. The integration of AI with 5G and IoT technologies, coupled with edge computing expansion in tier-2 and tier-3 cities, further broadens market reach.
Global Infrastructure Strategy
Novacore’s initiative addresses a critical bottleneck in AI development: access to advanced computing resources without relying on overseas infrastructure. The company’s Hyderabad deployment strengthens domestic compute capacity while helping research teams and enterprises run sophisticated AI workloads locally.
“From Mumbai’s leadership to Hyderabad’s operational excellence, we have built Novacore to combine technical depth, reliability, and reach,” said Aryamaan Singhania, Co-founder.
“By focusing on efficiency and talent, we are delivering unmatched value to innovators in India, the U.S., and the Middle East.“
Ranbir Badwal, Co-founder, emphasized the democratization aspect: “Our goal is to democratize access to the most advanced computing. What some call an almost datacenter bubble in India has kept hosting costs well below the U.S., where companies face bidding wars over datacenters. This lets us offer American startups and researchers the GPU power they need.”
Market Impact and Competition
The deployment positions Novacore as a key player in the rapidly evolving global AI infrastructure arena. However, the company faces challenges including cross-border finance regulations, export-control compliance, privacy concerns, and intense competition in the AI market.
NVIDIA’s broader ecosystem-building efforts in India include partnerships with Reliance Industries and Tata Communications for AI data centers powered by Blackwell and Hopper chips. Reliance’s 1-gigawatt AI data center in Jamnagar, Gujarat, will use renewable energy, aligning with sustainability goals.
Risks and Considerations
Business leaders should monitor potential regulatory challenges affecting cross-border AI infrastructure operations. Export-control regulations and data privacy requirements could impact service delivery across multiple jurisdictions. Additionally, the rapidly evolving AI chip landscape may require continuous technology upgrades to maintain competitive advantage.
The success of this initiative could establish India as not just a consumer of AI technology, but as a global exporter of AI innovation and infrastructure services.
Strategic Advantages for Business Leaders
Novacore’s platform offers several advantages for enterprises: cost-effective access to cutting-edge hardware, reduced dependency on overseas computing resources, and scalable solutions for diverse AI applications. The company supports pre-built templates and custom configurations across major machine learning frameworks.
For international businesses, India’s strategic location and renewable energy infrastructure make it an attractive hub for global AI workloads. As organizations seek to balance performance with sustainability, India’s AI data centers powered by Blackwell architecture become increasingly valuable.
The deployment represents more than technological advancement—it signals India’s emergence as a serious contender in global AI infrastructure competition. With government backing, skilled workforce, and cost advantages, India is positioned to capture significant market share in the expanding AI services sector.
What’s your take on India’s surge in AI infrastructure? Could this shift the global balance of computing power?
