UrsaCompute plans to invest $300 million to scale up India’s sovereign AI infra

UrsaCompute, the AI compute infrastructure arm of Ursa Group, has announced a planned investment of $300 million toward building sovereign AI compute infrastructure in India, including the deployment of 2,888 NVIDIA Blackwell GPUs.

“The deployment aligns with the Government of India’s ₹10,372 crore IndiaAI Mission, which aims to strengthen domestic AI infrastructure and reduce reliance on overseas hyperscaler ecosystems for advanced AI workloads,” the company said. 

The company’s Phase 1 deployment will be anchored at ST Telemedia Global Data Centres in Greater Noida and is expected to support high-density AI training workloads, enterprise AI adoption, government-linked AI initiatives, and emerging Indic-language foundation model development. 

It also plans to expand through regional infrastructure nodes in Hyderabad and Visakhapatnam as part of its broader sovereign AI infrastructure roadmap.

“The global AI race is no longer only about who builds the smartest models. It is increasingly about who controls the compute infrastructure powering them,” said Satish Abburi, Co-Founder and COO, Ursa Group

“India has the talent, data scale, developer ecosystem, and policy intent to become a leading AI nation. What the country now requires is sovereign compute infrastructure built on Indian soil and governed within Indian regulatory frameworks,” he said.

According to the company, the deployment is intended to support growing demand from enterprises, AI startups, research institutions, and public-sector organisations seeking access to domestic high-performance AI compute capacity.

“The compute layer is where AI sovereignty either happens or does not,” Mr Abburi added. 

“If India’s future AI systems continue to rely entirely on foreign infrastructure ecosystems, then long-term dependency remains unavoidable. Building sovereign AI infrastructure is therefore not only a technology priority, but also an economic and strategic imperative,” he further said.

The company said the next phase of growth would focus on infrastructure commissioning, enterprise onboarding, AI cloud services expansion, and scaling sovereign compute availability for India’s rapidly evolving AI ecosystem.