InfoQ 中文发布于 08/25 22:31
Grafana 正式发布 gcx 和 MCP 服务器，助力基于遥测的智能代理开发
Grafana Labs 宣布正式上线两款工具 gcx CLI 和 Grafana MCP 服务器，使 AI 编码代理能够在开发过程中实时查询可观测性数据。
InfoQ 中文发布于 08/25 20:12
Cloudflare 将 CI 管道转变为 TypeScript 工作流
Cloudflare 发布了一个 CI SDK，允许开发者使用 TypeScript 而不是 YAML 定义持续集成（CI）管道，并将每个步骤作为持久化的 Cloudflare Workflow 来运行。
InfoQ 中文发布于 08/23 17:10
事故频发并不意味着可靠性下降
IT 工程项目领导者最常见的假设之一，是报告的事故数量不断增加就意味着系统可靠性正在下降。然而，Great Circle 最近的一篇文章提出，实际情况往往恰恰相反：事故数量增加，反而可能意味着组织的事故管理文化正在改善。随着团队不断投入资源完善流程、工具、培训和运维规范，他们会更愿意正式地将那些过去大概只会被悄悄处理、甚至被隐瞒的事故报告上去。这样带来的结果就是组织对运营问题的可见性提高了，但却不一定意味着系统的健康状况恶化。
InfoQ 中文发布于 08/23 01:17
Cloudflare 推出 Cache Response Rules，在源站响应后进一步控制缓存
Cloudflare 近日推出缓存响应规则（Cache Response Rules），这是一套新的规则引擎，运行在源站返回响应之后、内容写入 Cloudflare 缓存之前。此前，缓存规则（Cache Rules）只能根据请求属性进行判断；缓存响应规则则新增了一个响应处理阶段，可以在响应进入缓存之前检查源站返回的内容。
Microsoft AI Blog发布于 07/21 02:20
Microsoft expands Azure AI and HPC infrastructure with AMD
（翻译）微软借助AMD扩展Azure AI和HPC基础设施
AI workloads are scaling faster than any single infrastructure approach can support — with more models, new agent-driven workloads and surging compute demand driving the need for greater specialization across the stack. To meet this need, Microsoft continues to evolve Azure’s infrastructure, includi
NVIDIA Technical Blog发布于 08/24 23:00
Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS
（翻译）借助 NVIDIA DSX MaxLPS 最大化 AI 工厂每瓦性能
AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available…
NVIDIA Technical Blog发布于 08/24 23:00
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
（翻译）NVIDIA BlueField-4 驱动面向 Agentic AI 工厂的新型 Scale-In 网络基础设施
Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users…
Hugging Face Blog发布于 08/18 03:46
Same Cluster, 33 Points More Utilization: What Changed Was the Order
（翻译）同一集群，利用率提升33个百分点：改变的是顺序
A Blog post by Dharma-AI on Hugging Face
少数派发布于 08/23 15:25
AI 时代的 Surface Pro 7 改造指南：看板、轻量工作站与 Linux 笔记本
手头这台闲置的SurfacePro7在桌角放了挺长一段时间。当年买它看重的是二合一的便携形态，但放在Windows11下只要长时间亮屏就一定会过热、偶尔跳屏，基本处于不可用的状态。直到前阵子在网上看到 ...
Hugging Face Blog发布于 07/30 23:09
GPU Management: Why Idle GPUs Are the New Grounded Aircraft
（翻译）GPU 管理：为何闲置 GPU 是新的停场飞机
A Blog post by Dharma-AI on Hugging Face
NVIDIA Technical Blog发布于 08/13 00:13
How to Choose Full-Stack Observability for NVIDIA AI Factories
（翻译）如何为NVIDIA AI工厂选择全栈可观测性
AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades…
Hugging Face Blog发布于 07/27 08:00
Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
（翻译）前沿实验室智能体入侵剖析：2026年7月事件技术时间线
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
AWS Machine Learning Blog发布于 08/26 00:35
Governed reports with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP
（翻译）使用Amazon Quick Desktop和Amazon FSx for NetApp ONTAP实现受治理的报告
Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.
AWS Machine Learning Blog发布于 08/26 03:00
Agentic observability with Amazon OpenSearch Service MCP Apps
（翻译）使用 Amazon OpenSearch Service MCP Apps 实现智能体可观测性
Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets your agent move from alert to trace to logs to root cause in one conversation, and how you can verify every step inline w