Rent NVIDIA H100 80GB HBM3 GPU
Launch NVIDIA H100 80GB HBM3 cloud capacity with 80GB VRAM for large-model training and high-throughput inference. Lumino provides per-second billing, SSH access, a browser terminal, and public Docker image support.
Availability: NVIDIA H100 80GB HBM3 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
Check current H100 stock and pricing or create an Auto-rent request
Compare NVIDIA H100 80GB HBM3 with nearby options
| GPU | VRAM | Architecture | Live status |
|---|---|---|---|
| NVIDIA B300 SXM6 AC | 288GB | Blackwell | Supported by Lumino; check current B300 stock and pricing |
| NVIDIA H100 NVL | 94GB | Hopper | Supported by Lumino; check current H100 stock and pricing |
| NVIDIA A100 80GB PCIe | 80GB | Ampere | Supported by Lumino; check current A100 stock and pricing |
NVIDIA H100 80GB HBM3 specifications and rental details
| Hourly price | Check current marketplace pricing |
|---|---|
| GPU memory | 80GB VRAM |
| Architecture | Hopper |
| Fleet class | Datacenter Serving & Inference |
| Memory bandwidth | 3352 GB/s |
| FP16 performance | Up to 1979 TFLOPS |
| Access | SSH, browser terminal, and Docker image support |
What fits in 80GB of VRAM: Flagship memory for training and long-context serving
- 70B-class models: Full-precision 70B inference and LoRA fine-tuning fit comfortably in 80GB with room for context and batch size.
- Long context serving: Large KV-cache headroom supports longer contexts and higher concurrency for vLLM and TGI deployments.
- Full training runs: Multi-GPU training, large-batch experiments, and from-scratch runs target this memory class.
- On this card: On this card: HBM3 memory, launched 2022, 3,352 GB/s bandwidth.
Is NVIDIA H100 80GB HBM3 the right GPU for your workload?
80GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3.
Choose this datacenter-class accelerator for model serving, training, fine-tuning, scientific compute, or sustained production workloads where accelerator memory and platform features matter.
Hopper brings FP8 precision and the Transformer Engine, so 80GB of HBM3-class memory turns into materially higher training and inference throughput than the same capacity on older architectures.
Typical workloads: Large-model training and high-throughput inference.
Where NVIDIA H100 80GB HBM3 bottlenecks
Watch memory bandwidth before FLOPS: Hopper jobs stall on HBM feed, not on Tensor Cores, and FP8 only helps frameworks that actually emit it. Memory bandwidth on record is 3,352 GB/s.
How to rent NVIDIA H100 80GB HBM3
- Open the filtered marketplace result and confirm current stock and price.
- Select storage and a public Docker image for the workload.
- Start the rental, then connect over SSH or the browser terminal.
- Stop or terminate the pod when the job finishes and review any persistent-storage charge.
For serverless inference, compare Lumino hosted model APIs and review the developer documentation.
NVIDIA H100 80GB HBM3 rental FAQ
Can I rent NVIDIA H100 80GB HBM3 on Lumino AI?
Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA H100 80GB HBM3 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
What is NVIDIA H100 80GB HBM3 best used for?
Large-model training and high-throughput inference. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.
How much does NVIDIA H100 80GB HBM3 rental cost in India?
The hourly rate is listed live in the marketplace with per-second INR billing. Total job cost is rate times runtime plus any persistent storage.
What fits in 80GB of VRAM?
80GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3. Keep 20-30 percent headroom above the raw model weights for context and batch size.
NVIDIA H100 80GB HBM3 vs NVIDIA B300 SXM6 AC?
The NVIDIA B300 SXM6 AC is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.
Does this GPU support FP8 on NVIDIA H100 80GB HBM3?
Hopper-class GPUs support FP8 precision and the Transformer Engine, which speed up training and inference for compatible frameworks and precisions.
Is HBM3 memory important for my workload?
HBM3-class bandwidth feeds large-batch training and long-context serving. If the job is bandwidth-bound rather than compute-bound, memory throughput decides runtime more than peak FLOPS.
Does the rental include SSH and Docker?
Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.