Live now: our Inference Engineering Track from AI Engineer World's Fair 2026.
This is a dev post classified by Jev as Hosting & infra (a free resource), kept by the Dev Radar because it carries real work, not commentary.
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. https://www.youtube.com/watch?v=7c9FSUVcXR0&list=PLcfpQ4tk2k0W3_JZkL2SRVKTVOj7DoWtZ - 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?:
Posted by AI Engineer 🔜 Paris 🇫🇷 (64.4k followers) 1 h ago · 3 likes · 904 views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
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