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GPU Benchmarks

Compare performance across our GPU lineup to find the perfect balance of power and cost for your workloads.

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How we benchmark our GPUs

Our benchmarks are designed to give you a real-world understanding of how each GPU performs across common AI workloads. All values are normalized to the H100 SXM5 performance (100%), so you can easily compare relative performance.

Inference Benchmarks

  • Llama2 70B: Tokens per second for Llama2 70B model inference
  • Mistral 7B: Tokens per second for Mistral 7B model inference
  • Stable Diffusion: Images per minute for 512x512 resolution with 50 steps

Training Benchmarks

  • Training Performance: Composite score based on training throughput across multiple model architectures
  • All benchmarks are run on identical system configurations with the same software stack
  • Price/Performance: Hourly price divided by performance score

For custom benchmarks or detailed performance data for your specific workload, please contact our team.

Performance Comparison

GPU ModelPrice/hourLlama2 70B
(tokens/sec)
Mistral 7B
(tokens/sec)
Stable Diffusion
(imgs/min)
Training
(composite)
Action
H100 SXM5 80GB$2.25100.0100.0100.0100.0Deploy
A100 SXM4 80GB$1.8072.386.578.280.5Deploy
A100 PCIe 80GB$1.5064.875.371.972.1Deploy
L40 48GB$0.9542.758.960.555.2Deploy
RTX 4090 24GB$0.3539.857.268.351.6Deploy
RTX 3090 24GB$0.2028.544.152.739.3Deploy

Last Updated: July 24, 2024. All performance values normalized to H100 SXM5 (100%).

Price-to-Performance Ratio

Lower is better - Price per hour divided by performance score

Value Leaders by Workload

For Large Model Inference (Llama2 70B)

  1. 1. RTX 3090: Best Value$0.007/point
  2. 2. RTX 4090: Great Value$0.009/point
  3. 3. L40: Good Value$0.022/point

For Image Generation (Stable Diffusion)

  1. 1. RTX 3090: Best Value$0.004/point
  2. 2. RTX 4090: Great Value$0.005/point
  3. 3. L40: Good Value$0.016/point

Ready to experience industry-leading GPU performance at a fraction of the cost?

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