A10G
nvidia · ampere · 24 GB GDDR6 · 150W TDP
VRAM
24 GB
BF16 TFLOPS
35
Bandwidth
600 GB/s
From
$0.30/hr
Spec Sheet
Pricing by Provider
| Provider | On-Demand | Reserved | Spot | Badge |
|---|---|---|---|---|
| vast_ai | $0.50/hr | - | $0.30/hr | Cheapest |
| aws | $1.21/hr | $0.75/hr | $0.46/hr | |
| runpod | $0.69/hr | - | - |
Pricing History
Compatible Models (255)
Single GPU (169 models)
Multi-GPU (86 models)
Training Capabilities
Estimated GPU count for full fine-tuning (AdamW, BF16) and QLoRA
| Model Size | Full Fine-Tune | QLoRA |
|---|---|---|
| 7B model | 6 GPUs | 1 GPU |
| 13B model | 11 GPUs | 1 GPU |
| 70B model | 55 GPUs | 2 GPUs |
Energy Efficiency
Estimated tokens/second per Watt for popular models
Similar GPUs
Methodology Note
Performance estimates for the A10Gare based on InferenceBench's roofline performance model with CUDA kernel-level optimization including FlashAttention v2 and PagedAttention. Memory calculations account for model weights (24 GB GDDR6 available), KV-cache allocation, and activation memory. Throughput predictions use the A10G's rated 600 GB/s memory bandwidth and 35 BF16 TFLOPS compute capacity as roofline ceilings, with empirical correction factors per GPU architecture (ampere). See our full methodology.
Frequently Asked Questions
How many AI models can run on A10G?
The A10G can run 255 AI models from our database within a single node. Compatible models range across various parameter sizes depending on the quantization precision (BF16, FP8, INT4). Smaller models fit on a single GPU while larger models may require multi-GPU setups up to 8x A10G.
What is the A10G inference throughput?
The A10G delivers 35 BF16 TFLOPS and 35 FP8 TFLOPS with 600 GB/s memory bandwidth. Actual inference throughput (tokens/sec) depends on the model size, precision, and batch size. Use our calculator for model-specific throughput estimates.
How much does A10G cost per hour?
The A10G is available starting from $0.30/hour via vast_ai. Prices vary by provider and pricing tier (on-demand, reserved, spot). Compare pricing across all providers in the table above.