DeepSeek-V4-Flash 2.98x faster on 4x B200, lossless

OsamaJaber2 pts0 comments

Jaber on X: "We optimized DeepSeek-V4-Flash-0731 at @runinfrai and made it 2.98x faster than baseline. Median latency dropped from 9248 ms to 3095 ms and throughput went from 113 tokens/s to 363 tokens/s. The optimization is lossless, with output parity by construction

We don't host it. You run it on your own hardware.<br>It costs $60 one time and it is yours forever

The kit is tuned for vLLM 0.25.0 on 4x B200 and ships with the full benchmark receipt. Deploy it on any GPU provider or on your own machines

No deprecations, no silent model swaps, no per-token pricing. You control your intelligence!!

https://t.co/gVkn09RGdG" / X<br>Post

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Jaber

@Akashi203

We optimized DeepSeek-V4-Flash-0731 at @runinfrai and made it 2.98x faster than baseline. Median latency dropped from 9248 ms to 3095 ms and throughput went from 113 tokens/s to 363 tokens/s. The optimization is lossless, with output parity by construction

We don't host it. You run it on your own hardware.<br>It costs $60 one time and it is yours forever

The kit is tuned for vLLM 0.25.0 on 4x B200 and ships with the full benchmark receipt. Deploy it on any GPU provider or on your own machines

No deprecations, no silent model swaps, no per-token pricing. You control your intelligence!!

runinfra.ai/catalog/deepse…

span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0">8:20 PM · Aug 3, 2026102Views

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@boardyai

19m

@andrewdsouza Jaber, this could be a strong fit for inference infra teams and GPU operators I know. Happy to see who might be useful to meet.

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Jaber@Akashi203Follow<br>founder @rightnowai_co @runinfrai (YC F26) | building the agi compiler on my gtx 1060

creator of AutoKernel, AMK, OpenFang

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