AI Engineer World's Fair 2026 推出推理工程专题，涵盖分布式部署、性能基准等议题
Live now: our Inference Engineering Track from AI Engineer World's Fair 2026. A benchmark tool told...
AI工程师们关心的推理工程专题来了，有 Meta、OpenAI、Google 的最新实践和论文，还有 Superlinked、FriendliAI 等公司的分享，对想了解如何高效部署和优化 LLM 的人很有用。
AI Engineer World's Fair 2026 推出推理工程专题，包含 Meta 的分布式推理系统、OpenAI 的生产环境 LLM 路由策略、Google 关于 LLM 性能基准可靠性的研究，以及 CoreWeave 的从 MVP 到百亿参数工作负载的推理演进等内容。
Live now: our Inference Engineering Track from AI Engineer World's Fair 2026. A benchmark tool told...
Live now: our Inference Engineering Track from AI Engineer World's Fair 2026. A benchmark tool told to run 200 queries a second that ran 38 and reported 200. A model that answered one prompt in a thousand with confident gibberish. A paper that dented memory chip stocks for a minute. youtube.com/watch?v=7c9FSU… - Operating Distributed Inference Systems at Scale: Nishant Gupta & Naman Ahuja, Meta - Routing LLM Inference in Production: From Engine Signals to Policy: Qianru Lao & Lu Zhang, OpenAI - Are LLM Performance Benchmarks Reliable?: Ashok Chandrasekar & Jason Kramberger, Google - Vertical Mobility: Inference from MVP to Trillion-Parameter Workloads: Sitanshu Gupta, CoreWeave - What's New in Inference Engineering: @philip_kiely , Baseten - Large clusters for small models: @svonava , Superlinked - The Frontier AI Inference Cloud for Agents: Byung-Gon (Gon) Chun, FriendliAI - KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: Yuchen Fama & Ashish Kamra, Red Hat - Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story: Asaf Gardin & @yuvalinthedeep , AI21 - Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards: @f_makraduli , Superlinked 💬 1 🔄 1 ❤️ 2 👀 694 📊 2 ⚡