DeepSeek-V4 Local Test: 17 t/s on A6000 + 256GB RAM
USBhost · reddit · 2026-08-02
A developer on Reddit shared local inference benchmarks for DeepSeek-V4-Flash-0731 (Q8 quantization). Running on an RTX A6000 (48GB) paired with 256GB of DDR4 RAM, the model achieved a steady generation speed of 17.2 tokens/s and prompt processing over 70 tokens/s. The author noted that while 48GB VRAM is theoretically sufficient for a 1 million token context, prompt processing speeds would drop significantly.
Related event: DeepSeek-V4-Flash Local Deployment Benchmarks: Performance Across Hardware(21 posts)→
More from Infra
- Running 2.78T Parameter Kimi K3 on a Single CPU with 8GB RAM — Saboo_Shubham_ · 2026-08-03
- AMD Enters Open-Source LLM Arena with Instella-MoE-16B — airesearch12 · 2026-08-03
- US States Move to Repeal Data Center Tax Breaks, Raising AI Infrastructure Costs — pstAsiatech · 2026-08-03
- Handling Offline AI Jobs: Developers Share Best Engineering Practices — cmm324 · 2026-08-03
- A 10-Week Roadmap for LLM Inference Serving and Optimization — _jaydeepkarale · 2026-08-03
- App Developers Should Ship Their Own On-Device Models — abacaj · 2026-08-03