Liquid AI has introduced RIPL, a new real-time inference engine designed to serve its Liquid Foundation Models (LFMs) with very low latency. The engine aims to enable the use of generative models in applications that previously required classical models due to speed constraints, such as fraud detection and payment authorization. Benchmarks indicate that RIPL can achieve significantly lower p95 latency compared to existing solutions like vLLM when running models like LFM2.5, with some configurations showing up to a 28.4x improvement. AI
IMPACT Enables generative models in latency-sensitive applications, potentially replacing classical models in areas like fraud detection and payment authorization.
RANK_REASON Product launch of an inference engine for LLMs.
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