Flide Inference Engine Claims Up to 9.5x Speedup for Jev-Like Decision Models
Developers have released Flide, an inference engine built specifically for Jev-like decision models rather than general language workloads. The project reports speedups of up to 9.5 times compared with vLLM and SGLang. According to the announcement, Flide now supports more than 30 popular local Jev-like decision models. It is available to install via pip, and the post was shared on Hacker News as a Show HN project with limited early engagement.
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