L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can NVIDIA A100 40GB PCIe run openai-community/gpt2?

Runs Q440GB VRAM availableRequires 4GB+

NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 40GB PCIe can run openai-community/gpt2 with Q4 quantization. At approximately 248 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 36GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB40GB248.06 tok/s✅ Fits comfortably
Q87GB40GB163.45 tok/s✅ Fits comfortably
FP1615GB40GB81.85 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
774.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
673.50 tok/s
Price: —
AMD Instinct MI300X
192GB
541.37 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
510.43 tok/s
Price: —
AMD Instinct MI250X
128GB
457.53 tok/s
Price: —

More questions

NVIDIA A100 40GB PCIe specs & pricingFull guide for openai-community/gpt2openai-community/gpt2 speed on NVIDIA A100 40GB PCIeopenai-community/gpt2 Q4 requirements