AINewsnow

▲ Liquid AI releases RIPL, a real-time inference engine for LFMs (14.4x lower p95 than Qwen3.5-0.8B on vLLM)

This story is from 2026-10-22. It is preserved in the archive; the latest stories are on the live feed.

Liquid AI announced RIPL (Real-time Inference Pipeline), an inference engine that serves its LFM models inside live request paths. The target is complete generated responses under 50 ms end-to-end, held under continuous peak load. It ships for enterprise deployments on NVIDIA GPUs. All benchmark nu…

Read the full story at r/machinelearningnews ↗

Timeline · 1 report

  1. 2026-10-22 17:44 · r/machinelearningnews
    ▲ Liquid AI releases RIPL, a real-time inference engine for LFMs (14.4x lower p95 than Qwen3.5-0.8B on vLLM)

More stories

  1. Cognition Becomes First Customer for NVIDIA Vera Rubin NVL72 on CoreWeave Cloud — CoreWeave Blog
  2. How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage — NVIDIA Technical Blog
  3. NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories — NVIDIA Blog
  4. Get Started with Kimi K3 on CoreWeave Dedicated Inference — CoreWeave Blog
  5. Why AI Factories Need Proof Before Production — CoreWeave Blog
  6. CoreWeave Leads MLPerf 0.7 Endpoints Benchmark with DeepSeek-R1 — CoreWeave Blog
  7. Choosing the Right NVIDIA Platform for Running Inference on CoreWeave — CoreWeave Blog
  8. Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes — NVIDIA Technical Blog

Get the daily brief of stories like this at 6:30 every morning →