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 RTX 6000 Ada run zai-org/GLM-4.7-Flash?

Runs Q448GB VRAM availableRequires 18GB+

NVIDIA RTX 6000 Ada 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 RTX 6000 Ada can run zai-org/GLM-4.7-Flash with Q4 quantization. At approximately 60 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 30GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q418GB48GB59.67 tok/s✅ Fits comfortably
Q835GB48GB44.48 tok/s✅ Fits comfortably
FP1670GB48GB23.18 tok/s❌ Not recommended

Best current price

NVIDIA RTX 6000 Ada
$7,199.00 on Amazon
Check Price

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 RTX 6000 Ada specs & pricingFull guide for zai-org/GLM-4.7-Flashzai-org/GLM-4.7-Flash speed on NVIDIA RTX 6000 Adazai-org/GLM-4.7-Flash Q4 requirements