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.

  1. Home
  2. Models
  3. deepseek-ai/DeepSeek-Coder-V2-Instruct-0724
  4. Speed on NVIDIA H200 SXM 141GB
NVIDIA H200 SXM 141GB~111 tok/s (Q4)

deepseek-ai/DeepSeek-Coder-V2-Instruct-0724 speed on NVIDIA H200 SXM 141GB

Quantization-specific throughput and VRAM requirements for deepseek-ai/DeepSeek-Coder-V2-Instruct-0724 running on NVIDIA H200 SXM 141GB.

Speed Snapshot
Topline estimate from compatibility data
Modeldeepseek-ai/DeepSeek-Coder-V2-Instruct-0724
GPUNVIDIA H200 SXM 141GB
Q4 speed111 tok/s
Q4 VRAM required115GB
Data Source
Calculation and benchmark status

Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.

For full verdict logic and alternate GPUs, see the canonical compatibility page.

Open full compatibility report

Quantization Speed Table

QuantizationVRAM neededVRAM availableSpeedVerdict
Q4115GB141GB111 tok/s✅ Fits
Q8231GB141GB67 tok/s❌ Not recommended
FP16461GB141GB40 tok/s❌ Not recommended
Back to deepseek-ai/DeepSeek-Coder-V2-Instruct-0724Q4 requirement pageFull compatibility breakdown