Rent NVIDIA A100 80GB PCIe GPU
Launch NVIDIA A100 80GB PCIe cloud capacity with 80GB VRAM for fine-tuning, notebooks, training, and model serving. Lumino provides per-second billing, SSH access, a browser terminal, and public Docker image support.
Availability: NVIDIA A100 80GB PCIe is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
Check current A100 stock and pricing or create an Auto-rent request
What fits in 80GB of VRAM: Proven memory for fine-tuning and experiments
- 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: HBM2e memory, launched 2021, 1,935 GB/s bandwidth.
Is NVIDIA A100 80GB PCIe 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 HBM2e.
Choose this datacenter-class accelerator for model serving, training, fine-tuning, scientific compute, or sustained production workloads where accelerator memory and platform features matter.
Ampere is the mature workhorse: broad CUDA and framework support, and on A100-class silicon, MIG slices that split one GPU into isolated fractional rentals.
Typical workloads: Fine-tuning, notebooks, training, and model serving.
Where NVIDIA A100 80GB PCIe bottlenecks
Ampere bottlenecks are usually memory capacity and host-to-device transfer on large batches; MIG slicing helps only on supported A100-class silicon. Memory bandwidth on record is 1,935 GB/s.
Nearby alternatives to NVIDIA A100 80GB PCIe
- AMD Instinct MI350 OAM — 294GB, CDNA 4, Supported by Lumino; check current MI350 OAM stock and pricing.
- NVIDIA A100-SXM4-80GB — 80GB, Ampere, Supported by Lumino; check current A100 stock and pricing.
- NVIDIA H100 80GB HBM3 — 80GB, Hopper, Supported by Lumino; check current H100 stock and pricing.
NVIDIA A100 80GB PCIe specifications and rental details
| Hourly price | Check current marketplace pricing |
|---|---|
| GPU memory | 80GB VRAM |
| Architecture | Ampere |
| Fleet class | Datacenter Serving & Inference |
| Memory bandwidth | 1935 GB/s |
| FP16 performance | Up to 312 TFLOPS |
| Access | SSH, browser terminal, and Docker image support |
How to rent NVIDIA A100 80GB PCIe
- 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 A100 80GB PCIe rental FAQ
Can I rent NVIDIA A100 80GB PCIe on Lumino AI?
Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA A100 80GB PCIe is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
What is NVIDIA A100 80GB PCIe best used for?
Fine-tuning, notebooks, training, and model serving. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.
How much does NVIDIA A100 80GB PCIe 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 HBM2e. Keep 20-30 percent headroom above the raw model weights for context and batch size.
NVIDIA A100 80GB PCIe vs AMD Instinct MI350 OAM?
The AMD Instinct MI350 OAM is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.
Can I split this GPU into smaller slices on NVIDIA A100 80GB PCIe?
A100-class Ampere silicon supports MIG slices: isolated fractional GPUs with their own memory and compute, rentable separately when a full card is unnecessary.
Is Ampere still worth renting?
Yes for value: mature CUDA support across every framework, and on 80GB cards, room for 70B-class inference and LoRA work at below-flagship hourly rates.
Does the rental include SSH and Docker?
Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.