InfoQ 中文发布于 08/22 23:15
Cloudflare 推出 Agent Tracing：支持截断限制，不同框架的 Payload 默认记录策略存在差异
Cloudflare 推出了 Cloudflare Agents 的首个组件，Agent Tracing（Agent 追踪），可提供用于集中查看已经部署的 Agent 会话的统一 Dashboard。此次发布在现有 Workers Tracing 的基础上增加了 Agent 级别的 Span，同时也伴随着明确的收费时间表：Beta 期间免费，2026 年 10 月 1 日起将纳入 Workers Observability 的计费体系。
NVIDIA Technical Blog发布于 08/24 23:08
Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules
（翻译）超大规模AI与以太网演进：Spectrum-X以太网如何改写规则
The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs…
AWS Machine Learning Blog发布于 08/25 02:59
Democratizing institutional knowledge: Building an AI-powered knowledge management system with AWS
（翻译）普及机构知识：使用 AWS 构建 AI 驱动的知识管理系统
Learn how to build a customizable, smart-caching knowledge management system on AWS that captures and delivers institutional (tribal) knowledge through a voice-first AI avatar. The accelerator uses Amazon Bedrock Knowledge Bases for retrieval-augmented generation and deploys in hours with AWS CloudF
AWS Machine Learning Blog发布于 08/25 00:22
Agentic Resource Discovery (ARD): An open specification for agent discovery
（翻译）Agentic Resource Discovery (ARD)：用于代理发现的开放规范
AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enable cross-environment discovery and governance at scale.
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…
AWS Machine Learning Blog发布于 08/25 00:13
Building a restaurant telephony AI host with Amazon Connect
（翻译）使用 Amazon Connect 构建餐厅电话 AI 接待员
Learn how to build a voice ordering system for restaurants that answers a phone call and takes an order end to end, with no app, no website, and no sign-in. It uses Amazon Connect for telephony, Amazon Connect Agentic Voice for real-time speech, an Amazon Connect AI agent for reasoning, and Amazon B
AWS Machine Learning Blog发布于 08/22 01:02
Govern AI agent tool access with Amazon Bedrock AgentCore Gateway
（翻译）使用 Amazon Bedrock AgentCore Gateway 治理 AI 代理工具访问
Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Catalog, and Harden) for building a governed tool gateway with Amazon Bedrock AgentCore, advancing only when real governance
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
NVIDIA Technical Blog发布于 08/21 21:00
Where Security Fits in an AI Agent Stack
（翻译）安全在AI Agent技术栈中的位置
As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important.
AWS Machine Learning Blog发布于 08/21 00:24
Scaling agentic AI: Enterprise patterns without vendor lock-in
（翻译）扩展智能体AI：避免供应商锁定的企业模式
Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems across a multi-everything environment of frameworks, models, and providers, and th
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…
AWS Machine Learning Blog发布于 08/20 23:20
Build intelligent security for healthcare APIs with Amazon Bedrock
（翻译）使用 Amazon Bedrock 为医疗保健 API 构建智能安全
Learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. This post shows how to detect anomalous access patterns, classify data sensitivity automatically, and generate compliance reports in natural language, all without adding latency to clinical workflows.
AWS Machine Learning Blog发布于 08/20 06:09
Automate Document Processing with Quick Automate and the IDP Accelerator
（翻译）利用 Quick Automate 与 IDP Accelerator 自动化文档处理
Classifying, extracting, and validating high volumes of documents is a challenge across banking, insurance, healthcare, and the public sector. See how a mid-size mortgage lender automates its entire document intake pipeline, from email to validated data, using the AWS GAIIC IDP Accelerator and Amazo
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.