⚙️ AI Hardware

Liquid AI's 350M Model Crushes Doubly-Sized Rivals on Edge Devices

Everyone's been chasing ever-bigger AI models. Liquid AI just flipped the script with a featherweight 350M-param beast that runs on your phone and beats twice-its-size competition.

Liquid AI LFM2.5-350M hybrid LIV architecture diagram on edge devices

⚡ Key Takeaways

  • 350M params outperform 700M+ rivals on agentic benchmarks via 28T-token training.
  • Hybrid LIV+GQA crushes Transformer memory woes for 32k context on edge hardware.
  • Throughput hits 40K tps on H100; deploys to phones/Pis—edge AI unlocked.

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Priya Sundaram
Written by

Priya Sundaram

Hardware and infrastructure reporter. Tracks GPU wars, chip design, and the compute economy.

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Originally reported by MarkTechPost

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