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 zai-org/GLM-4.7-Flash?

Runs Q440GB VRAM availableRequires 18GB+

NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of zai-org/GLM-4.7-Flash. 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 zai-org/GLM-4.7-Flash with Q4 quantization. At approximately 73 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 22GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q418GB40GB73.20 tok/s✅ Fits comfortably
Q835GB40GB58.79 tok/s✅ Fits comfortably
FP1670GB40GB27.92 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
255.27 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
223.41 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
188.44 tok/s
Price: —
AMD Instinct MI300X
192GB
187.46 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
168.78 tok/s
Price: —

More questions

NVIDIA A100 40GB PCIe specs & pricingFull guide for zai-org/GLM-4.7-Flashzai-org/GLM-4.7-Flash speed on NVIDIA A100 40GB PCIezai-org/GLM-4.7-Flash Q4 requirements