NVIDIA A100 80GB GPU capacity in India.
Monthly A100 80GB capacity for established CUDA training, fine-tuning, inference, analytics and HPC workloads.
- Monthly price
- One allocated A100 GPU card for one month.
- System details
- Exact variant, card count, host CPU, RAM, storage, network, location and topology.
Topology matters as much as 80GB.
A100 PCIe and A100 SXM are different system offers. Whole GPU, MIG, VM, interconnect and host resources must be named before two prices can be compared.
Is this A100 80GB PCIe or SXM?
The public price does not select a variant. The written quote must state A100 PCIe or A100 SXM, card count, interconnect and host system.
Is ₹99,000 for a whole GPU, MIG slice or complete server?
It is the monthly reference price per A100 80GB GPU card. A VM, MIG allocation or complete server is a different commercial unit and must be named separately.
Can two A100 GPUs combine their memory for one model?
Not automatically. Each GPU has its own memory. The framework and topology must partition the model or training state and handle communication between cards.
When should I choose H100 instead of A100?
Choose H100 only when the intended software stack and workload show a useful Hopper benefit. A100 remains a mature path when it already meets the target.