AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

838历史快讯
50开源工具
7当前结果
06 月 02 日 昨日快讯
NVIDIA AI 动态 官方资讯

NVIDIA AI 动态:Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw

原文摘要:Accelerated computing has revolutionized industrial engineering, compressing simulation times from weeks to hours. Today’s remaining challenges sit in the end-to-end 工作流 surr 来源:NVIDIA AI 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

NVIDIA AI 动态 官方资讯

NVIDIA AI 动态:NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devi…

原文摘要:The agentic AI moment has arrived, but delivering on its promise requires more than good models. It also takes fast hardware, secure runtimes, a responsive data layer and models tu 来源:NVIDIA AI 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

NVIDIA Developer 动态:Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA

原文摘要:AI agents are changing how you interact with your PC. Creators, 开发者, and AI enthusiasts are already using these agents extensively to assist with... 来源:NVIDIA 开发者 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

NVIDIA Developer 动态:Deploy Self-Evolving Agents for Faster, More Secure Research with a Hermes Agent and NVIDIA …

原文摘要:AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster. But combining internal... 来源:NVIDIA 开发者 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

MarkTechPost 官方资讯

MarkTechPost:How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Nativ…

原文摘要:We build NVIDIA Apex from source, detect fused kernels, and 评测 FusedAdam, FusedLayerNorm, and torch.amp in Transformer training. The post How to Speed Up Transformer Trainin 来源:MarkTechPost。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

NVIDIA Developer 动态:Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2

原文摘要:As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized... 来源:NVIDIA 开发者 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。