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#gpu-serving

@PyTorch: Generative recommender systems reformulate personalization as sequence modeling over user behavior, and NVIDIA recsys-e…

X AI KOLs Timeline ↗ · 2026-10-08 Cached

NVIDIA recsys-examples now offers an end-to-end HSTU generative recommender inference workflow on Dynamo-Triton, combining PyTorch AOTI compilation with FlexKV-backed KV caching to achieve up to 5.93x lower latency on an RTX PRO 6000 Blackwell GPU.

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#gpu-serving

@yibie: https://x.com/yibie/status/2104217838953087098

X AI KOLs Timeline ↗ · 2026-09-27 Cached

This article introduces how to use SQL on the Databricks platform to run the open-source decision model SemIf-OpenJev, enabling batch processing by calling the model without data leaving the platform.

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#gpu-serving

@_avichawla: https://x.com/_avichawla/status/2077653695123378321

X AI KOLs Timeline ↗ · 2026-07-16 Cached

This article argues that vLLM and similar serving frameworks are inefficient for running multiple small AI models on a single GPU due to design limitations. It introduces the SIE open-source inference engine as a solution for serving many models together to reduce costs.

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#gpu-serving

@vanstriendaniel: It's raining OCR models again! @Baidu_Inc's Unlimited-OCR is one of the more interesting. You can try it without much e…

X AI KOLs Following ↗ · 2026-06-23 Cached

This post shows how to serve Baidu's Unlimited-OCR model as a temporary, OpenAI-compatible endpoint on Hugging Face Jobs, enabling multi-page document parsing with features like table-to-HTML and equation-to-LaTeX extraction.

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