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    @xenovacom Introduces Fleet for Browser GPU Benchmarking

    @xenovacom shares a post on running real AI workload kernels in browsers via WebGPU.

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    2 Sources, 29d ago, first seen 29d ago

    TLDR

    @xenovacom posted an announcement introducing Fleet, described as GPU benchmarking entirely in the browser. The post states that users can run WebGPU compute kernels drawn from real AI workloads directly in that environment. Georgi Gerganov, creator of llama.cpp, retweeted the message. A generated summary in the packet repeats that Fleet enables browser-based GPU benchmarking using those kernels. The packet contains no independent confirmations, launch dates, or additional details beyond the original post and retweet.

    Combined views

    7.9K

    2 Sources, first seen 29d ago

    Combined views

    7.9K

    2 Sources, first seen 29d ago

    51 likes
    51 likes
    9 comments
    24 saves
    8 reposts

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    9 comments
    24 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @xenovacomIntroducing Fleet: GPU benchmarking entirely in your browser. Run WebGPU compute kernels drawn from real AI workloads directly on your hardware and earn a personalized card built for your device. Rate your GPU. Join the Fleet. https://webgpu-kernels-fleet.hf.space/
    @ggerganovRT @xenovacom: Introducing Fleet: GPU benchmarking entirely in your browser. Run WebGPU compute kernels drawn from real AI workloads direc…

    2 Sources

    @xenovacomIntroducing Fleet: GPU benchmarking entirely in your browser. Run WebGPU compute kernels drawn from real AI workloads directly on your hardware and earn a personalized card built for your device. Rate your GPU. Join the Fleet. https://webgpu-kernels-fleet.hf.space/
    @ggerganovRT @xenovacom: Introducing Fleet: GPU benchmarking entirely in your browser. Run WebGPU compute kernels drawn from real AI workloads direc…