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Fireworks AI open-sources inference kernels for MiniMax AI collaboration

By PulseAugur Editorial · [2 sources] ·

Fireworks AI has open-sourced the kernel repositories behind its recent collaboration with MiniMax AI. This release includes optimizations for MiniMax Sparse Attention (MSA), which achieved a 1.6x throughput increase by refining attention kernel load and store pipelines. The company stated that weights are not the only aspect that should be open-source, emphasizing the value of sharing these underlying optimizations. AI

IMPACT Increases transparency and potential for community-driven improvements in AI inference infrastructure.

RANK_REASON Open-source release of inference kernels and optimizations for a specific AI model. [lever_c_demoted from research: ic=1 ai=0.7]

Read on X — MiniMax AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Fireworks AI open-sources inference kernels for MiniMax AI collaboration

COVERAGE [2]

  1. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    Weights aren't the only thing that should be open-source.

    Weights aren't the only thing that should be open-source. Both kernel repos behind our recent work with @MiniMax_AI are now public: → Fireworks: https://t.co/EBNJjitfsT → Minimax: https://t.co/FTQEbiCSsl

  2. X — MiniMax AI TIER_1 English(EN) · MiniMax_AI ·

    RT @FireworksAI_HQ: Weights aren't the only thing that should be open-source.

    RT @FireworksAI_HQ: Weights aren't the only thing that should be open-source. Both kernel repos behind our recent work with @MiniMax_AI ar…

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