Liquid AI released RIPL — a real-time inference engine for its LFM models. This is reported by MarkTechPost; the provided package has no standalone confirmation from the company itself.
According to the MarkTechPost synopsis, on a single B200 LFM2.5-1.2B with RIPL showed latency p95 that is 14,4–28,4 times lower than Qwen3.5-0.8B with vLLM.
For users this could be important in scenarios where a response needs to arrive quickly, but available materials do not disclose the comparison methodology, loads, and practical usage conditions.
editorial commentary
Why it matters
Probable consequence — increased emphasis on inference latency as a separate criterion for selecting small models. The next observable signal will be the publication of the primary methodology, results, and practical tests of RIPL. Substantial uncertainty is linked to the fact that only a metadata synopsis of one independent material is currently available.