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DeepSeek-V4.1-Flash achieves 2,600+ tok/s prefill on 2x DGX Spark

By PulseAugur Editorial · [1 sources] ·

A lawyer running PLI Labs has published performance benchmarks for the DeepSeek-V4.1-Flash model, utilizing a complex hardware setup. The configuration includes two DGX Spark servers for the model and a separate box with two 3090 GPUs for speculative drafting and Engram table offloading. This setup achieved over 2,600 tokens/s for prefill on a 256K context and 322 tokens/s for structured output, with full stack code and raw data made publicly available. AI

IMPACT Provides detailed performance data for a specific model and hardware configuration, useful for operators optimizing inference.

RANK_REASON Publication of performance benchmarks and technical details for an open-source model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek-V4.1-Flash achieves 2,600+ tok/s prefill on 2x DGX Spark

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Publication of performance benchmarks and technical details for an open-source model. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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3 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/TumbleweedNew6515 ·

    Lawyer with too many GPUs, part 3: DeepSeek-V4.1-Flash on 2x DGX Spark + an old 3090 box. 2,600+ tok/s prefill to 256K, 322 tok/s structured output, full stack and raw data published

    <!-- SC_OFF --><div class="md"><p>Update from the lawyer with the V100 server. I went and got two DGX Sparks, because of course I did. The mid-life crisis remains on schedule.</p> <p>Same deal as before: still a lawyer, still driving the whole thing through Claude Code, and Claud…

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