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 H200 SXM 141GB run lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit?

Runs Q4141GB VRAM availableRequires 4GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA H200 SXM 141GB can run lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit with Q4 quantization. At approximately 674 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 137GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB141GB674.49 tok/s✅ Fits comfortably
Q89GB141GB438.91 tok/s✅ Fits comfortably
FP1617GB141GB244.27 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
809.53 tok/s
Price: —
AMD Instinct MI300X
192GB
526.69 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
502.91 tok/s
Price: —
AMD Instinct MI250X
128GB
478.16 tok/s
Price: —
AMD Instinct MI250X
128GB
359.32 tok/s
Price: —

More questions

NVIDIA H200 SXM 141GB specs & pricingFull guide for lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bitlmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit speed on NVIDIA H200 SXM 141GBlmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit Q4 requirements