APIUp to 25% cheaper than official pricesTry the API →
Hermes
APIModelsCases
Back to News
newsInfraLlms

Liquid AI's RIPL Engine Beats vLLM by 28x on Real-Time Inference

Liquid AI's new RIPL inference engine runs small Liquid Foundation Models in under 50ms end-to-end, targeting search, ads, fraud, and payments.

Liquid AI's RIPL Engine Beats vLLM by 28x on Real-Time Inference
Source
Liquid AI
Published
Author
AlphaSignal Newsroom
Read
1 min read

Liquid AI's new RIPL inference engine runs small Liquid Foundation Models in under 50ms end-to-end, targeting search, ads, fraud, and payments.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

Read original report

Next reads

EAGLE-4 Triples Qwen3 Inference Speed by Adapting to Serving Load
AlphaSignal · repo

EAGLE-4 Triples Qwen3 Inference Speed by Adapting to Serving Load

New AI Architecture Challenges Token-by-Token Generation
Ben Dickson · deep-dive

New AI Architecture Challenges Token-by-Token Generation

FlashMap Drafts 16 Dependent Tokens at Once, Hitting 6.1x Faster Decoding
AlphaSignal · paper

FlashMap Drafts 16 Dependent Tokens at Once, Hitting 6.1x Faster Decoding