AI accelerators (GPU)
AI accelerators are the primary compute chips for model training and inference.
TechnologyAI Infrastructure
Proprietary scores
Strategic profile
Industrial importance3/5
Initial score derived from current Atlas ecosystem coverage.
Strategic importance3/5
Initial score derived from relationship breadth and entity type.
Import dependency4/5
Foreign-origin entity in the current Atlas.
Knowledge graph
Mapped relationships
- Depends onHigh-bandwidth memory (HBM)- AI accelerators require HBM for high-throughput model workloads.
- Depends onCoWoS advanced packaging- High-end accelerator supply is gated by advanced package integration capacity.
- Competes withGoogle TPU- TPUs are accelerator alternatives available through GCP instances on IndiaAI.
- Depends onIndiaAI Compute Portal- PIB July 2025 cites 34,381 provisioned GPUs; later PIB updates cite more than 38,000 onboarded.
- Owns / ControlsNVIDIA Corporation- OECD cites estimates above 80 percent share for GPU chips used in AI.