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Older V100 GPUs match RTX 5090 performance with Qwen 3.8 via software

A developer has successfully run the Qwen 3.8 model using NVFP4 quantization on four 2017 NVIDIA V100 GPUs, achieving performance parity with a modern RTX 5090. This feat is notable because NVFP4 was designed for newer NVIDIA Blackwell architecture, and the V100s lack native support for the FP4 and FP8 formats used by the model. The developer achieved this by creating a software translator, QPN, which allows the V100s to process the model efficiently, matching the RTX 5090's decode throughput and time to a correct answer. AI

IMPACT Enables running modern LLMs on older, less expensive hardware, potentially lowering the barrier to entry for AI experimentation.

RANK_REASON Developer-created software enabling older hardware to run a model efficiently.

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

Older V100 GPUs match RTX 5090 performance with Qwen 3.8 via software

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Simple_Library_2700 ·

    NVFP4 on VOLTA! Despite being built for Blackwell, I made four 2017 V100s run Qwen 3.8 NVFP4 natively and match my $6000 RTX 5090.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vsq3zg/nvfp4_on_volta_despite_being_built_for_blackwell/"> <img alt="NVFP4 on VOLTA! Despite being built for Blackwell, I made four 2017 V100s run Qwen 3.8 NVFP4 natively and match my $6000 RTX 5090." src="ht…