C-DAC invites bids for 10,000 AI compute units under the IndiaAI Mission
The Centre for Development of Advanced Computing has issued a Request for Empanelment for AI service providers to supply up to 10,000 GPUs, TPUs and accelerators to ministries, researchers, startups and industry. Clusters must be hosted entirely in India with strict data-isolation rules, and capacity may be expanded beyond the initial figure on demand.
The Centre for Development of Advanced Computing, acting for the Ministry of Electronics and IT, has published a Request for Empanelment seeking AI service providers to supply up to 10,000 AI Compute Units under the IndiaAI Mission. The RFE defines compute units broadly to include GPUs, TPUs and other accelerators, and says C-DAC may expand the total beyond 10,000 during the empanelment period if demand warrants.
The capacity is intended for ministries and departments, academic and research institutions, startups and industry, and is to be used for large-scale model training, fine-tuning, inference, high-performance computing and other emerging AI workloads. Providers are to organise their offering in clusters of 4,000, 1,000 or 512 units, with each cluster of at least 512 units co-located in a single Indian data centre and overall capacity spread across multiple locations.
The data conditions are stringent. All infrastructure, data, metadata, logs, backups and disaster-recovery copies must remain within India; providers must comply with Indian localisation rules; C-DAC's workloads must be physically and logically isolated from other tenants; and any unauthorised access, use, sharing or transfer of C-DAC data is prohibited.
Minister Ashwini Vaishnaw had said days earlier that demand was estimated at around 10,000 GPUs and that the government would pursue an empanelment-based approach rather than a conventional tender, with the first phase covering roughly 5,000 units. Bids under the RFE close in mid-November.
Why it matters
This round extends the national compute facility that has already underwritten several Indian model releases, and the lower 512-unit threshold opens the door to mid-sized domestic providers alongside hyperscalers. The localisation clauses also set a de facto standard for how sovereign AI infrastructure must be run.
Indicops view
Subsidised national compute is a genuine opportunity for government departments and public institutions that would otherwise never justify GPU spend, but access is only useful with a plan for what to run on it. We help agencies scope workloads, prepare applications and build the MLOps scaffolding, so that empanelled capacity translates into deployed services rather than unused allocations.
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