1
EP223: Ollama vs vLLM vs SGLang
对比三大 LLM 推理框架 Ollama、vLLM 与 SGLang，理清性能与适用场景，帮你选对部署方案。
To use open-weight models on your machine, you have three main options: Ollama, vLLM, and SGLang. But each engine handles requests differently.
2
Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
分析3.3万个PR，揭示智能体编程时代人机协作信号，为生物医学AI与生信开发提供实证参考。
arXiv:2608.13884v1 Announce Type: cross Abstract: The rapid adoption of AI coding assistants and autonomous agentic development systems has coincided …
3
Hot French startup ZML releases free product to speed inference across lots of AI chips
法国初创ZML推出免费产品，让AI推理在多芯片上飞驰，20人团队挑战行业巨头。
ZML, a hot French AI startup endorsed by Turing Award winner Yann LeCun, has now released ZML/LLMD, software that could make running AI less costly.
4
Distributed LLM Inference with LLM-d
不重复造轮子，基于vLLM、SGLang与K8s/Envoy的分布式推理新方案LLM-d，值得关注。
Article URL: https://cefboud.com/posts/llm-d/ Comments URL: https://news.ycombinator.com/item?id=48699083 Points: 3 # Comments: 0