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@thu_yushengsu, the founding member at @radixark and a core contributor to @lmsysorg SGLang, gave a talk on the efficiency and determinism in large-scale RL training using the Miles framework.
GitHub repo: github.com/radixark/miles
Slides: docs.google.com/presentation/d…
🧵 2/10

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Connor Guerrero, the founding member of @CrusoeAI's developer relations team gave a talk on serving LLMs on Crusoe with KServe.
Tutorial: crusoe.ai/resources/blog…
Slides: drive.google.com/file/d/1ERlUUu…
🧵 3/10

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Tanmay Chopra, the founder of @withemissary, gave a talk on post-training LLMs beyond weights.
Slides: drive.google.com/file/d/1a9DUMF…
🧵 4/10

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DJ Gianduso, the product lead at @makora_ai, gave a talk on generating GPU kernels to improve inference performance.
Slides: drive.google.com/file/d/1mbthno…
🧵 5/10

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@andrey_cheptsov, the founder of dstack, gave a talk on building a new orchestration standard for AI infrastructure across hardware, cloud, and software vendors.
GitHub repo: github.com/dstackai/dstac…
Slides: drive.google.com/file/d/1lfmxIf…
🧵 6/10

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Tanya Verma, a co-founder of @TinfoilAI, gave a talk on verifiably private AI and confidential inference with secure hardware enclaves.
🧵 7/10

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@KonstantinWille, the brain modeling lead at Metamorphic, gave a talk on the Enigma project at @Stanford building the foundation for the next generation of foundation models.
Slides: drive.google.com/file/d/1_xWgmg…
🧵 8/10

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If you’re interested in an open-source orchestration platform that simplifies training and inference across GPU vendors, clouds, and open-source software stacks, check out our GitHub repo: github.com/dstackai/dstac…
🧵 10/10
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