NVIDIA A10

NVIDIA24GB GDDR6PCIe Gen4Ampere

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

Current Price

$0.37/hr

From $0.37/hr · lowest live offer

2 GPU · Limited

Current Price

$0.37

+0.0% (24h)

Available Now

2 GPU

Limited

Total in Network

21 GPU

Live data

Utilization

90.5%

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 A10

Open VRAM calculator with A10

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

Largest that fitsINT4 / AWQ

GPT-OSS 20B

21B MoE · 3.6B active

14.2 of 24 GB59%

~52 tok/s per stream

Details

Where the memory goes

  • Model weights12.24 GB
  • KV cache0.82 GB
  • Activations0.02 GB
  • CUDA & framework1.12 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
51
Spare context in leftover VRAM
329K
Fit score
79/100 · Moderate
Open in VRAM calculator
BalancedFP8

Qwen3.5-9B

9B

14.9 of 24 GB62%

~37 tok/s per stream

Details

Where the memory goes

  • Model weights12.69 GB
  • KV cache1.07 GB
  • Activations0.05 GB
  • CUDA & framework1.05 GB
Precision
FP8
Serving preset
8K context × 4 users
Users at this context
38
Spare context in leftover VRAM
239K
Fit score
77/100 · Moderate
Open in VRAM calculator
CompactFP16

Qwen3.5-4B

4B

11.4 of 24 GB47%

~48 tok/s per stream

Details

Where the memory goes

  • Model weights9.20 GB
  • KV cache1.07 GB
  • Activations0.06 GB
  • CUDA & framework1.02 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
51
Spare context in leftover VRAM
345K
Fit score
86/100 · Moderate
Open in VRAM calculator

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

Technical Specifications

Memory

24GB GDDR6

FP32 Performance

31.2 TFLOPS

Tensor Performance

125 TFLOPS

Memory Bandwidth

600 GB/s

Architecture

Ampere

TDP

150W

FP64 Performance

0.3 TFLOPS

CUDA Cores

9216

Tensor Cores

288

Ideal Use Cases

AI InferenceVideo ProcessingVirtual DesktopEdge AI

About NVIDIA A10

The NVIDIA A10 is an efficient GPU for mainstream AI inference and graphics workloads.

The NVIDIA A10 features 24GB of GDDR6 memory with 600 GB/s bandwidth, making it excellent for ai inference, video processing, virtual desktop. With 125 TFLOPS tensor performance and 31.2 TFLOPS FP32 compute, this NVIDIA Ampere GPU delivers exceptional performance for demanding workloads.

Currently, 21 GPU A10 GPUs are available in the GPUniq network with 90.5% utilization. The average rental price is $0.37 per hour, with 2 GPU ready for immediate deployment.

A10 vs similar GPUs — specs & live rental prices

Prices are live minimum / median USD per hour on the GPUniq marketplace, as of 2026-11-04 15:09 UTC.

GPUVRAMArchitectureFP32TensorBandwidthTDPMin $/hrMedian $/hrAvailable
A1024GB GDDR6Ampere31.2 TFLOPS125 TFLOPS600 GB/s150W$0.34$0.352
A10040–80GB HBM2eAmpere39 TFLOPS624 TFLOPS2.0 TB/s400W$0.60$1.3187
A4048GB GDDR6Ampere37.4 TFLOPS150 TFLOPS696 GB/s300W$0.36$0.9125

Frequently Asked Questions

How much does it cost to rent NVIDIA A10?

The current rental price for NVIDIA A10 is $0.37 per hour on GPUniq. Prices may vary based on demand and availability.

What is NVIDIA A10 best used for?

NVIDIA A10 is ideal for AI Inference, Video Processing, Virtual Desktop, Edge AI. With 24GB of GDDR6 memory and 125 TFLOPS tensor performance, it excels at demanding AI and compute workloads.

How many NVIDIA A10 GPUs are available for rent?

Currently, there are 2 GPU available for immediate rental out of 21 GPU total in the GPUniq network. The current utilization is 90.5%.

Which LLMs can run on NVIDIA A10?

On a single NVIDIA A10, our VRAM calculator fits GPT-OSS 20B (INT4 / AWQ, 14.2 of 24 GB); Qwen3.5-9B (FP8, 14.9 of 24 GB); Qwen3.5-4B (FP16, 11.4 of 24 GB) — estimated at 8K context with 4 concurrent users.

What are the specifications of NVIDIA A10?

NVIDIA A10 features 24GB GDDR6 memory, 31.2 TFLOPS FP32 performance, 125 TFLOPS tensor performance, 600 GB/s memory bandwidth, and 150W TDP. It uses the Ampere architecture.

Related GPUs in Ampere Series

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$0.37/hr

A10 · 2 GPU

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