（翻译）TensorRT Edge-LLM 在 Jetson AGX Thor 上以 6.4 倍速度完成 MLPerf Edge Agentic 基准测试
AI agents are moving from cloud data centers to vehicles, robots, and other edge devices. Unlike a chatbot that answers a single prompt, an agent works through…
（翻译）使用开源 Agent 技能改进 HCLS AI 推理
AI agents on foundation models often misapply healthcare and life sciences decision frameworks, citing the right guideline but applying it incorrectly. This post shares 38 open-source agent skills across 11 HCLS domains that close this gap, with installation steps, three worked use cases, and a 410-
（翻译）使用 NVRx 在 Amazon EKS 上进行容错分布式训练
Integrate NVIDIA Resiliency Extension (NVRx) into PyTorch FSDP training on Amazon EKS to overlap checkpoint I/O with training and recover from GPU faults in seconds. This post covers async checkpointing, in-process restart, and ft_launcher in-job restart, with H100 benchmarks at 2 to 8 nodes showing
会话追踪与成本管控是排查 AI 智能体故障的关键可观测手段，既能识别工具调用循环和费用失控，还能留存执行上下文供事后故障调试。
（翻译）使用 Agentic AI 将 CUDA Tile 操作从 Python 翻译为 Rust
cuTile Rust () is a tile-based system for safe, idiomatic GPU kernel authoring in the Rust programming language. Extending the Rust ownership model to tile…
（翻译）栉水母不只是美丽，它们还是生物学奇迹。
Comb jellies are helping answer fundamental questions in biology, from how the earliest nervous systems evolved to how bioluminescence works.
Solidot是至顶网的科技资讯网站，主要面对开源自由软件和关心科技资讯读者群，包括众多中国开源软件的开发者，爱好者和布道者。口号是“奇客的知识，重要的东西”。
（翻译）使用 Amazon Bedrock AgentCore 优化智能体系统提示词
AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Refl
Solidot是至顶网的科技资讯网站，主要面对开源自由软件和关心科技资讯读者群，包括众多中国开源软件的开发者，爱好者和布道者。口号是“奇客的知识，重要的东西”。
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（翻译）使用 Amazon Bedrock Data Automation 构建无服务器 PII 脱敏流水线
Learn how to automate end-to-end PII detection and redaction from scanned documents at scale using Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda. A custom blueprint redacts sensitive fields with field-level precision, and a token matching quality check ra
