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antirez Pushes DeepSeek V4 Local Inference to New Speeds

Redis author antirez kept optimizing his DwarfStar engine, pushing DeepSeek V4 local inference from 45 to 170 t/s, culminating in 3000 t/s prefill on a DGX Station.

2026-08-17 ~ 2026-08-18 · 3 episodes · 7 posts

Episode 1 · Redis Author Optimizes DeepSeek V4 to 45 t/s (2026-08-17, 3 posts)

Redis author antirez demonstrated the DwarfStar inference engine, optimizing DeepSeek V4 PRO to 45 t/s via Q2 quantization and dynamic expert routing. The system adaptively migrates experts between VRAM and RAM based on usage.

Episode 2 · antirez Tunes DwarfStar to 170 t/s Generation on Station (2026-08-17, 2 posts)

Redis creator antirez reported that after roughly 48 hours of optimization, the DwarfStar inference engine on Station achieved 170 t/s generation (without DFlash) and 22k tokens/s prefill using MXFP4 and Flash models.

Episode 3 · DeepSeek v4 local deployment hits 3000 t/s prefill on DGX Station (2026-08-18, 2 posts)

Redis creator antirez demonstrated DeepSeek v4 PRO running on a DGX Station at 3000 tokens/s prefill, using DwarfStar orchestration to leverage hybrid host RAM and VRAM even when the model exceeds GPU memory.