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Inference Stack

Inference stack optimization as AI competitive moat

Analysis of inference optimization frameworks (vLLM, SGLang, TensorRT-LLM, quantization, speculation, caching) and infrastructure tools as core competitive differentiation in open-source AI era.

6 posts · First seen 2026-02-23 · Last activity 2026-02-23
TimeAuthorPost
2026-02-23T21:12 @cerebras RT @SarahChieng: here's how you know latency debt is real: follow the money in the past 6 months, the 4 most important companies in AI all…
2026-02-23T20:10 @art_zucker RT @remi_or_: +23% faster inference with no code change 👏 Just shipped asynchronous batching in 🤗 transformers continuous batching! Enjoy…
2026-02-23T20:06 @Dorialexander also set me up batch-up/async with cheaper models for fast gen. accelerating for sure. ↩ reply parent
2026-02-23T19:56 @TheAhmadOsman @Teknium Saw that, tried to reply and he has me blocked (no surprise there, he is an inference engineer who served those nerfed models I called out) https://t.co/GnPgkWWzWT ↩ reply parent
2026-02-23T18:42 @rohanpaul_ai Open-source models are levelling the playing field, but your inference stack is what actually builds the moat. Lots of alpha there with vLLM, SGLang, TensorRT-LLM, Quantization, Speculation, Caching, Parallelization, Disaggregation, Docker, Kubernetes, AWS, GCP --- Chart from a16Z a16z .news/p/charts-of-the-week-vertical-saas
2026-02-23T18:30 @katedeyneka inference is everything 💚 https://t.co/JZkbC3CXGn https://t.co/zUgF4tVQtw
@cerebras 2026-02-23T21:12
RT @SarahChieng: here's how you know latency debt is real: follow the money in the past 6 months, the 4 most important companies in AI all…
@art_zucker 2026-02-23T20:10
RT @remi_or_: +23% faster inference with no code change 👏 Just shipped asynchronous batching in 🤗 transformers continuous batching! Enjoy…
@Dorialexander 2026-02-23T20:06
also set me up batch-up/async with cheaper models for fast gen. accelerating for sure.
↩ reply parent
@TheAhmadOsman 2026-02-23T19:56
@Teknium Saw that, tried to reply and he has me blocked (no surprise there, he is an inference engineer who served those nerfed models I called out) https://t.co/GnPgkWWzWT
↩ reply parent
@rohanpaul_ai 2026-02-23T18:42
Open-source models are levelling the playing field, but your inference stack is what actually builds the moat. Lots of alpha there with vLLM, SGLang, TensorRT-LLM, Quantization, Speculation, Caching, Parallelization, Disaggregation, Docker, Kubernetes, AWS, GCP --- Chart from a16Z a16z .news/p/charts-of-the-week-vertical-saas
@katedeyneka 2026-02-23T18:30
inference is everything 💚 https://t.co/JZkbC3CXGn https://t.co/zUgF4tVQtw

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