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DeepSeek Flash-1017 Hits 500 Tok/s Locally

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DeepSeek Flash-1017 Hits 500 Tok/s Locally
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// 1h agoBENCHMARK RESULT

DeepSeek Flash-1017 Hits 500 Tok/s Locally

A community benchmark reports 500 tokens per second running DeepSeek-V4.1-Flash-1017 locally on four RTX PRO 6000 Blackwell Max-Q GPUs. The setup combines full SSD n-gram offload with a single-kernel megakernel covering the forward pass.

// ANALYSIS

This is an impressive inference-engineering result, but the headline number is highly dependent on workload, context, batching, and kernel implementation.

  • –SSD n-gram offload makes the 552B-parameter MoE model practical without keeping every auxiliary component in GPU memory.
  • –A megakernel can significantly reduce launch and synchronization overhead across the decode path.
  • –The result highlights how DeepSeek’s sparse architecture and compressed KV-cache design favor unconventional local-serving systems.
  • –Four workstation GPUs and high-speed storage remain a serious homelab investment, so this is not yet “local” in the consumer sense.
  • –Reproducible benchmarks should report prompt length, output length, quantization, concurrency, and sustained versus burst throughput.
// TAGS
deepseek-v4-1-flash-1017llmopen-weightsinferencegpulocal-firstbenchmark

DISCOVERED

1h ago

2026-10-20

PUBLISHED

1h ago

2026-10-20

RELEVANCE

9/ 10

AUTHOR

0x0SojalSec