Rent NVIDIA A100-SXM4-80GB GPU

Nearby alternatives to NVIDIA A100-SXM4-80GB

• NVIDIA A100 80GB PCIe — 80GB, Ampere, Supported by Lumino; check current A100 stock and pricing.
• NVIDIA B200 — 180GB, Blackwell, Supported by Lumino; check current B200 stock and pricing.
• NVIDIA H100 80GB HBM3 — 80GB, Hopper, Supported by Lumino; check current H100 stock and pricing.

Compare the complete Lumino GPU fleet

Where NVIDIA A100-SXM4-80GB 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 2,039 GB/s.

Is NVIDIA A100-SXM4-80GB 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.

NVIDIA A100-SXM4-80GB specifications and rental details

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 2020, 2,039 GB/s bandwidth.

How to rent NVIDIA A100-SXM4-80GB

1. Open the filtered marketplace result and confirm current stock and price.
2. Select storage and a public Docker image for the workload.
3. Start the rental, then connect over SSH or the browser terminal.
4. Stop or terminate the pod when the job finishes and review any persistent-storage charge.

Open current A100 inventory

For serverless inference, compare Lumino hosted model APIs and review the developer documentation.

NVIDIA A100-SXM4-80GB rental FAQ

Can I rent NVIDIA A100-SXM4-80GB on Lumino AI?

Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA A100-SXM4-80GB is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.

What is NVIDIA A100-SXM4-80GB 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-SXM4-80GB 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-SXM4-80GB vs NVIDIA A100 80GB PCIe?

The NVIDIA A100 80GB PCIe 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-SXM4-80GB?

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.