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TKintegers K5: 3.21× prefill and 3.10× decode throughput vs TorchAO FP8 on NVIDIA L4 [R] [P]

I built TKintegers, a balanced-ternary weight representation, converter, and GPU inference implementation. The result that stood out to me: the NVIDIA L4 has native FP8 tensor-core support, but my K5 implementation achieved higher throughput than the TorchAO FP8 baseline—even though the GPU has no…

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  1. 2026-10-29 17:53 · r/MachineLearning
    TKintegers K5: 3.21× prefill and 3.10× decode throughput vs TorchAO FP8 on NVIDIA L4 [R] [P]

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