NVIDIA官方详解硬件感知的大模型设计，平衡吞吐量与延迟的Pareto前沿策略。
Article URL: https://developer.nvidia.com/blog/ai-model-co-design-hardware-friendly-llm-design/ Comments URL: https://news.ycombinator.com/item?id=488…
自我托管AI工作空间，硬件感知推荐与一键部署，涵盖270+模型，还带点幽默。
Article URL: https://pewdiepie-archdaemon.github.io/odysseus/ Comments URL: https://news.ycombinator.com/item?id=48361357 Points: 2 # Comments: 1
最新研究系统对比LLM智能体在硬件感知代码优化中依赖先验知识还是搜索策略，揭示两者优劣边界
arXiv:2605.19782v1 Announce Type: cross Abstract: LLM discovery and optimization systems are increasingly applied across domains, implementing a commo…
首次将无限头注意力融入硬件感知神经架构搜索，为边缘端百亿参数以下语言模型提供多后端高效部署方案。
arXiv:2605.17653v1 Announce Type: new Abstract: Sub-billion-parameter Transformer language models are increasingly deployed on edge devices, where the…