H100 rental price in India
₹1,80,000 per NVIDIA H100 80GB card per month is ZenoCloud's current public price. A complete H100 server is priced separately.
A complete-node quote states the H100 form factor, GPU count, host CPU and RAM, storage, network, location and topology. Do not estimate a node by multiplying an unspecified card price.
What changes between buying and renting?
| Decision | Buying hardware | Monthly rental |
|---|---|---|
| Commercial unit | Accelerator plus server, network and facility costs | GPU card allocation or complete node, as quoted |
| Capacity commitment | Owned for its useful life | Contract period stated in the quote |
| Hardware operations | Buyer owns procurement, spares and facility coordination | Provider hardware boundary stated in the quote |
| Workload operations | Buyer or selected operator | Self-managed unless deployment or Production Care is added |
Buying can fit stable, long-lived demand with an internal platform and facility plan. Renting can fit teams that need capacity without hardware procurement or want to validate the workload before a longer commitment. The correct comparison includes the complete system and operating boundary, not only the accelerator price.
H100 PCIe, SXM and complete nodes
H100 is sold in different form factors and node designs. The model name alone does not tell a buyer which host, interconnect or multi-GPU topology is included. ZenoCloud therefore confirms the exact variant in the quote instead of treating every H100 offer as equivalent.
Review NVIDIA's official H100 product information.
H100 compared with A100 and H200
| GPU | Memory | ZenoCloud INR reference | Decision to test |
|---|---|---|---|
| A100 80GB | 80GB HBM2e | ₹99,000 / card / month | Does the established A100 stack meet the workload target? |
| H100 80GB | 80GB HBM2e or HBM3, by form factor | ₹1,80,000 / card / month | Does the intended H100 system meet the workload target? |
| H200 141GB | 141GB HBM3e | ₹2,20,000 / card / month | Is per-card memory the binding constraint? |
GPU count is not usable memory
Multiple GPUs keep separate memory pools unless the framework partitions the model or training state and coordinates communication between cards. The practical test is not only how many GPUs are attached. It is whether the model, precision, context, batch and serving framework fit the per-card memory and topology while meeting the workload target.
Information needed for an H100 quote
- Model, framework and precision
- Training, inference or fine-tuning workload
- Per-card memory and GPU-count requirement
- Context, batch, concurrency or training target
- Storage, dataset movement and network requirement
- Region, timing and minimum term
- Self-managed, deployment or Production Care boundary
Sources
Technical product information is checked against NVIDIA's official H100 material. ZenoCloud pricing is read from the public price book used by the H100 product page.
H100 GPU pricing questions
What is the monthly H100 GPU price in India?
₹1,80,000 per NVIDIA H100 80GB card per month. A complete server is priced separately.
Is the H100 price for one card or a complete server?
The public reference is per GPU card per month. A complete server can contain one or more GPUs and is quoted separately with CPU, RAM, storage, network and interconnect.
Does the monthly H100 price include the host server?
No. The system configuration states the H100 form factor, card count, host CPU and RAM, storage, network, location and topology.
Should I choose H100 or H200?
Choose based on the workload. H200 is a useful alternative when its larger 141GB memory envelope is material. If an 80GB card meets the acceptance target, H100 may be the more appropriate commercial path.
Can ZenoCloud deploy and operate an H100 workload?
Yes, through separately scoped deployment, GPU Infrastructure Care or AI Production Care. Capacity, deployment and recurring operating ownership remain separate commercial lines.