DeepSeek open-sourced an inference acceleration patch for consumer GPUs. Combining 4-bit quantization with dynamic expert caching and CPU offloading, developers can run 67B sparse MoE coding models on a single 24GB VRAM GPU (RTX 4090/3090) at speeds exceeding 45 tokens per second.

Key Takeaways

  • ✓Runs 67B sparse MoE coding models locally on standard 24GB consumer GPUs.
  • ✓Dynamic expert caching and 4-bit quantization sustain speeds over 45 tokens/sec.
  • ✓Patches upstreamed directly into llama.cpp and SGLang repositories.
🧭

Turn your technical choice into a development budget

Compare 40 dev plans & simulate token costs vs $20/mo subscriptions

Action HubReady to adopt this in production?

Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.

Up NextDeepSeek-V4-Flash-Vision-Exp goes live: multimodal agents near Opus 4.8, Harness 0.1.1 included
Read Now→