NVIDIA A800 PCIe

NVIDIA80GB HBM2ePCIe Gen4Ampere

Data updated 2026-11-04 15:09 UTC · refreshed every 5 min

Current Price

N/A

0 GPU · Limited

Current Price

N/A

+0.0% (24h)

Available Now

0 GPU

Limited

Total in Network

3 GPU

Live data

Utilization

100.0%

High

Market history

Price Tracking

USD/hour (minimum · median)

Available GPUs

Ready to rent

Total in Network

Infrastructure Growth

Which LLMs run on one NVIDIA A800 PCIe

Open VRAM calculator with A800 PCIE

Estimated with our VRAM calculator for a single card: 8K context, 4 concurrent users, vLLM-style serving.

Largest that fitsINT4 / AWQ

GPT-OSS 120B

117B MoE · 5.1B active

63.1 of 80 GB79%

~107 tok/s per stream

Details

Where the memory goes

  • Model weights60.24 GB
  • KV cache1.23 GB
  • Activations0.02 GB
  • CUDA & framework1.61 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
59
Spare context in leftover VRAM
271K
Fit score
64/100 · High
Open in VRAM calculator
BalancedFP8

Qwen3.6 35B A3B

35B MoE · 3B active

43.3 of 80 GB54%

~90 tok/s per stream

Details

Where the memory goes

  • Model weights41.42 GB
  • KV cache0.67 GB
  • Activations0.03 GB
  • CUDA & framework1.19 GB
Precision
FP8
Serving preset
8K context × 4 users
Users at this context
222
Spare context in leftover VRAM
1.4M
Fit score
82/100 · Moderate
Open in VRAM calculator
CompactFP16

Qwen3-14B

14B

35.6 of 80 GB45%

~46 tok/s per stream

Details

Where the memory goes

  • Model weights28.00 GB
  • KV cache6.44 GB
  • Activations0.13 GB
  • CUDA & framework1.07 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
31
Spare context in leftover VRAM
218K
Fit score
88/100 · Moderate
Open in VRAM calculator

Estimates, not benchmarks: real usage depends on the runtime, context and batch settings.

Technical Specifications

Memory

80GB HBM2e

FP32 Performance

19.5 TFLOPS

Tensor Performance

312 TFLOPS

Memory Bandwidth

2 TB/s

Architecture

Ampere

TDP

300W

FP64 Performance

9.7 TFLOPS

CUDA Cores

6912

Tensor Cores

432

Ideal Use Cases

AI TrainingDeep LearningHPCLLM Inference

About NVIDIA A800 PCIe

The NVIDIA A800 is a data center GPU with 80GB HBM2e, designed for AI training workloads.

The NVIDIA A800 PCIe features 80GB of HBM2e memory with 2 TB/s bandwidth, making it excellent for ai training, deep learning, hpc. With 312 TFLOPS tensor performance and 19.5 TFLOPS FP32 compute, this NVIDIA Ampere GPU delivers exceptional performance for demanding workloads.

Currently, 3 GPU A800 PCIE GPUs are available in the GPUniq network with 100.0% utilization. The average rental price is N/A per hour, with 0 GPU ready for immediate deployment.

Frequently Asked Questions

How much does it cost to rent NVIDIA A800 PCIe?

The current rental price for NVIDIA A800 PCIe is N/A per hour on GPUniq. Prices may vary based on demand and availability.

What is NVIDIA A800 PCIe best used for?

NVIDIA A800 PCIe is ideal for AI Training, Deep Learning, HPC, LLM Inference. With 80GB of HBM2e memory and 312 TFLOPS tensor performance, it excels at demanding AI and compute workloads.

How many NVIDIA A800 PCIe GPUs are available for rent?

Currently, there are 0 GPU available for immediate rental out of 3 GPU total in the GPUniq network. The current utilization is 100.0%.

Which LLMs can run on NVIDIA A800 PCIe?

On a single NVIDIA A800 PCIe, our VRAM calculator fits GPT-OSS 120B (INT4 / AWQ, 63.1 of 80 GB); Qwen3.6 35B A3B (FP8, 43.3 of 80 GB); Qwen3-14B (FP16, 35.6 of 80 GB) — estimated at 8K context with 4 concurrent users.

What are the specifications of NVIDIA A800 PCIe?

NVIDIA A800 PCIe features 80GB HBM2e memory, 19.5 TFLOPS FP32 performance, 312 TFLOPS tensor performance, 2 TB/s memory bandwidth, and 300W TDP. It uses the Ampere architecture.

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