Rent NVIDIA A100 80GB in India — ₹97,000/month ($1,099)
80GB of proven capacity at the sharpest published monthly rate in India — 70B inference without H100 spend.
A100 pricing
An NVIDIA A100 80GB node costs ₹97,000 ($1,099) per month in Mumbai as of July 2026, about ₹133 per hour effective, on a 1-month minimum. It is among the lowest published monthly A100 rates in India. Managed ops adds ₹15,000 ($179) per node per month. A100 40GB is available on request.
| Config | Total VRAM | Per Node / Month | ≈ Effective / hr |
|---|---|---|---|
| 1× A100 80GB | 80GB | ₹97,000$1,099 | ≈ ₹133/hr≈ $1.51/hr |
| 1× A100 40GB | 40GB | On request | — |
| 2× A100 NVLink | 160GB | On request | — |
| 4× A100 NVLink | 320GB | On request | — |
| 8× A100 NVLink | 640GB | On request | — |
* Prices checked July 2026. Monthly commitment, 1-month minimum; no hourly product. ≈ /hr = monthly ÷ 730, for comparison only. INR prices attract 18% GST, claimable as input tax credit. Managed ops add-on: ₹15,000 ($179) per node/month. Node CPU, RAM, and NVMe sized at scoping; multi-GPU and NVLink pricing confirmed at scoping.
Will your model fit on one A100?
Weight sizes at the stated precision; KV cache needs headroom on top. Unsure — a benchmark run settles it.
| Model | Params | Precision | Fits on 1× A100? | Notes |
|---|---|---|---|---|
| Mistral 7B | 7B | FP16 | Yes | ~14GB weights; full KV headroom |
| Llama 3.1 8B | 8B | FP16 | Yes | ~16GB weights |
| Llama 2 13B | 13B | FP16 | Yes | ~26GB weights |
| Llama 3.1 70B | 70B | INT4 (AWQ/GPTQ) | Yes | ~40GB weights quantized |
| Mixtral 8x7B | 47B | INT8 | Yes | ~47GB weights |
| Qwen2.5 32B | 32B | FP16 | Tight | ~64GB weights; limited KV cache |
| Llama 3.1 70B | 70B | FP16 | No | ~140GB weights; 2× A100 or 1× H200 |
A100 — or something else?
Is the A100 still worth renting in 2026?
Yes, for inference and mid-size fine-tuning. 80GB fits Llama 3.1 70B INT4 with headroom, MIG splits one card into up to 7 isolated instances for multi-tenant serving, and the ₹97,000 monthly rate is roughly half the H100’s ₹1,80,000. Reserve the H100 for training speed; the A100 wins on cost per served token.
A100 vs H100
The H100 is up to 3x faster on transformer training and adds FP8, at ₹1,80,000 vs ₹97,000 per month. Both carry 80GB, so anything that fits on one fits on the other. Pick the A100 when the workload is inference or LoRA fine-tuning and rupee-per-token decides; pick the H100 when training wall-clock time is the constraint.
A100 vs L40S
The A100 has HBM2e at 2 TB/s and NVLink for multi-GPU training; the L40S has GDDR6 at 864 GB/s but stronger FP8 inference throughput, at ₹55,000 vs ₹97,000 per month. Serve 7B–13B models on the L40S and save ₹42,000 monthly. Move to the A100 for 70B INT4, Mixtral, or anything that needs the 80GB.
NVIDIA A100 80GB — chip reference
| Architecture | Ampere |
| Form factor | SXM4 |
| VRAM | 80GB HBM2e |
| Memory bandwidth | 2 TB/s |
| CUDA cores | 6,912 |
| Tensor cores | 432 (3rd gen) |
| FP32 | 19.5 TFLOPS |
| TF32 Tensor | 156 TFLOPS |
| FP16 Tensor | 312 TFLOPS |
| FP64 Tensor | 19.5 TFLOPS |
| Interconnect | NVLink 3.0, 600 GB/s |
| PCIe | Gen4 x16 |
| MIG | Up to 7 instances |
| TDP | 400W |
A100 hosting questions
How much does an A100 server cost per month in India? +
₹97,000 ($1,099) per node per month for the A100 80GB at our Mumbai location, about ₹133/hr effective, as of July 2026. Monthly commitment, 1-month minimum; no hourly product. Managed ops adds ₹15,000 ($179) per node per month. 18% GST applies on INR invoices and is claimable as input tax credit.
A100 40GB or 80GB: which should I take? +
The 80GB at ₹97,000 per month is the published row and the right default: it fits Llama 3.1 70B INT4 and Mixtral 8x7B INT8. The 40GB suits 7B–13B serving and is available on request; we quote it during scoping. If you are unsure, a benchmark run settles it with your actual model.
A100 vs H100: which should I choose? +
A100 for inference and budget fine-tuning: same 80GB fit at ₹97,000 vs ₹1,80,000 per month. H100 for training: up to 3x faster on transformers with FP8 support. Many teams train on H100 and serve on A100. We recommend a split in the scoping call based on your workload mix.
What is MIG and does the A100 support it? +
Multi-Instance GPU partitions one A100 into up to 7 isolated instances, each with its own memory and compute slice. Use it to serve several small models or tenants on one card with hardware isolation. We configure MIG profiles as part of managed ops on request.
How long does A100 provisioning take? +
A single A100 node is ready in 3–5 business days. Multi-GPU NVLink configurations take 5–7 business days. We confirm the exact lead time during the scoping call and keep you updated through provisioning.
Is there an A100 trial before the monthly commitment? +
For qualified teams, yes — we provision an A100 benchmark node so you validate model fit and throughput on the actual hardware before the 1-month commitment. Request one with your model name, expected concurrency, and production timeline.
Ready to run on an A100?
Tell us your workload — an engineer replies with a firm monthly quote in one business day. Qualified teams can benchmark on the exact hardware before committing.