🚀 miniTE: 1.33–1.37× BF16 speed for learner updates on 8×B300.

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🚀 miniTE: 1.33–1.37× BF16 speed for learner updates on 8×B300. InfiX.‌ai’s miniTE is a low-precision training framework that reduces training–sampling mismatch and speeds up NVFP4 computation. Highlights: - Diagnose mismatch from quantization to token probabilities. - Control risky updates with TRIAGE. - Reduce compute overhead with grouped GEMM, contiguous buffers, and fusion. Read the full report: http://lmsys.org/blog/2026-10-25-minite

Posted by LMSYS Org (17.9k followers) 3 days ago · 12 likes · 1.2k views · view the original post on X. Kept by the Dev Radar as AI dev tools.

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