Liquid AI launches sub-20ms latency stack (www.liquid.ai)

Liquid AI has announced the launch of Liquid RIPL (Real-time Inference Pipeline), a cutting-edge inference engine capable of delivering complete model responses in under 50 milliseconds, even during peak traffic loads. This innovative architecture is tailored to meet the stringent latency requirements of various enterprise applications such as search rankings, product recommendations, and fraud detection—areas where even minor delays can significantly disrupt user experiences. Unlike traditional models that prioritize larger batches and longer processing times, RIPL enables businesses to leverage larger foundation models without sacrificing performance. The significance of RIPL lies in its ability to drastically reduce latency while maintaining accuracy, outperforming leading alternatives, such as Qwen3.5, by up to 28.4 times in p95 latency benchmarks. With real-world applications already adopted by companies like Shopify for latency-sensitive tasks, RIPL promises to revolutionize how enterprises deploy generative AI. It allows for rapid inference with fewer parameters, ensuring high throughput at scale—an essential feature for modern AI workloads. Now available for NVIDIA GPUs, RIPL stands to empower organizations with critical real-time intelligence, fundamentally enhancing customer interactions across digital platforms.