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NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea
News Summary: NVIDIA and KAIST are launching a joint AI research lab at the KAIST Kim Jaechul Graduate School of AI in Seoul, dedicated to advancing agentic AI models and agent systems built for South Korea’s industries, language and future. The collaboration includes compute contributions, funding for at least 10 KAIST researchers annually with NVIDIA internships, plus full-time NVIDIA roles for top Korean researchers — creating new pathways for Korea’s AI talent. A core focus is developing models optimized for Korea, using NVIDIA Nemotron open models and local NVIDIA Cloud Partner infrastruc
匹配采集文档中文标题、摘要、原始来源或文档类型。Japan’s Robotics and Manufacturing Leaders Build on NVIDIA Cosmos to Advance Physical AI Frontier
News Summary: NVIDIA introduces Cosmos 3 Edge for on-device vision reasoning and robot policy deployment on NVIDIA Jetson Thor platforms, and NVIDIA Metropolis libraries built on NVIDIA Cosmos for agentic vision AI development. Japan’s physical AI ecosystem leaders AIRoA, FANUC, Fujitsu, Hitachi, Kawasaki Heavy Industries, Kubota, NEC, SoftBank Corp., Sony Group Corporation and Yaskawa Electric intend to join the NVIDIA Cosmos Coalition to help build open frontier physical AI models. Fujitsu is exploring the development of a collaborative control platform for physical AI, with FANUC, Yaskawa E
匹配采集文档中文标题、摘要、原始来源或文档类型。Building a Custom Metrics Exporter for Kubernetes
Kubernetes ships with built-in awareness of CPU and memory, but most real-world scaling decisions depend on signals that live entirely outside that narrow window: how many messages are waiting in a queue, how long the last batch job took, how many active WebSocket connections a pod is holding. When the built-in metrics are not enough, a metrics exporter bridges that gap. This post walks through writing one from scratch, packaging it as a container, and wiring it into a cluster so that Prometheus — and ultimately the HorizontalPodAutoscaler — can consume it. What a metrics exporter actually doe
匹配采集文档中文标题、摘要、原始来源或文档类型。Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency
Power is AI infrastructure’s inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of this, performance per watt — a metric that can’t be gamed, only earned through real-world results — is the foundation for AI factories. As agentic AI drives token demand […]
匹配采集文档中文标题、摘要、原始来源或文档类型。AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from monday’s own internal production data. In this post, we share the architecture behind those numbers, the retrofits that made it work in a decade-old code base, and the confidence-scored merge play closing the gap to full autonomy.
匹配采集文档中文标题、摘要、原始来源或文档类型。Transform your sales organization with Amazon Quick: your new agentic AI teammate
In this post, we walk through a few ways that Quick delivers on this promise. We cover the entire sales cycle, from identifying your highest-priority prospect, contacting them, working the deal to close, and keeping the CRM up to date as the account matures, while protecting your scarcest resource: your time.
匹配采集文档中文标题、摘要、原始来源或文档类型。AI 资本开支周期
观察云厂商 AI 数据中心投入、折旧、自由现金流、订单兑现和供应链排产之间的传导。
匹配知识节点、相关术语或方法论说明。Operating AI/ML Workloads on Kubernetes: A Headlamp Plugin for Kubeflow
Kubernetes has quietly become the default platform for AI and machine learning. Whether you run notebook servers for data scientists, schedule distributed training jobs, tune hyperparameters, or orchestrate multi-step ML pipelines, those workloads increasingly land on a Kubernetes cluster. Kubeflow is one of the most popular ways to assemble that stack, and it does so the Kubernetes-native way: every capability is exposed as a Custom Resource Definition (CRD). That design is a gift to cluster operators, because it means ML workloads can be observed and managed with the same primitives as every
匹配采集文档中文标题、摘要、原始来源或文档类型。Built for Vera Rubin, NVIDIA Spectrum-6 Arrives in Gigascale AI Factories
AI has entered the gigascale era. The world’s most advanced AI factories are bringing together hundreds of thousands of GPUs and CPUs to train frontier models, power agentic AI and generate intelligence at unprecedented scale. At this level, networking becomes a critical computing power multiplier in driving token generation. Marking a networking milestone, NVIDIA Spectrum-6 […]
匹配采集文档中文标题、摘要、原始来源或文档类型。Building trade assistant: How Jefferies optimized front office trading operations with AI
In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and Amazon Bedrock Knowledge Bases. It also uses Model Context Protocol (MCP), an open standard that helps AI agents securely connect to diverse data sources and tools through a unified interface. We cover the solution overview, the rationale for selecting the underlying technology st
匹配采集文档中文标题、摘要、原始来源或文档类型。NVIDIA Agent Toolkit Expands With New Omniverse Libraries, Putting AI Agents to Work Building Simulation-Ready Worlds
News Summary: NVIDIA Agent Toolkit now includes NVIDIA Omniverse libraries, giving AI agents tools and skills to help software developers integrate physical AI capabilities into their existing applications. New Omniverse libraries for NVIDIA RTX sensor simulation, GPU-accelerated physics simulation and simulation-ready asset validation are openly available on GitHub. SideFX and PTC are integrating Omniverse libraries into 3D applications for physical AI, with support for cloud and local AI systems, from NVIDIA RTX Spark to NVIDIA DGX Station. New NVIDIA blueprint for integrating Omniverse libr
匹配采集文档中文标题、摘要、原始来源或文档类型。Built Technologies builds an AI-powered document intelligence solution on AWS to power agents across real estate finance
Built partnered with the AWS Generative AI Innovation Center (GenAIIC), AWS Partner AND Digital, and AWS account teams to create a scalable, AI-powered document processing engine that can classify, split, extract, evaluate, and reason over complex real estate finance documents. It reduces workflows that previously took days to minutes, supports hundreds of document types, and gives technical teams and industry experts a shared environment for building and improving document processors.
匹配采集文档中文标题、摘要、原始来源或文档类型。Japan Government, Industrial Leaders and NVIDIA Launch the World’s First National AI Infrastructure
News Summary: NVIDIA to partner with Noetra Corp. to build the NVIDIA Vera Rubin AI factory with 13,750 Vera CPUs and 27,500 Rubin GPUs to deliver 140 megawatts of data center capacity based on the NVIDIA DSX platform. The initiative, supported by Japan’s Ministry of Economy, Trade and Industry (METI), will provide the computing foundation for Japan’s FRONTia Project to strengthen the country’s ecosystem across manufacturing, logistics, healthcare and more. AI factory to create open multimodal foundation models to develop AI agents, digital twins, robotics and physical AI applications. NVIDIA
匹配采集文档中文标题、摘要、原始来源或文档类型。The US is advancing AI safety through state and federal action
OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.
匹配采集文档中文标题、摘要、原始来源或文档类型。Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems
The AI era runs on AI infrastructure. Many of these advanced systems are built and tested in Texas. Wistron opened its first U.S. manufacturing facility today in Fort Worth — a 324,000-square-foot greenfield plant producing superchips at the heart of some of the world’s most capable AI systems. In front of an audience of Wistron […]
匹配采集文档中文标题、摘要、原始来源或文档类型。How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization
Rotary Position Embeddings (RoPE) provide transformers with a fixed grid of positional frequencies, yet trained models use these frequencies highly non-uniformly. We study what determines this frequency usage and propose a data-centered explanation: RoPE frequencies are selected to match the relative-distance structure of the training data. Viewing each frequency as a positional lens, we formalize a field-resolution tradeoff and show that, for a data-induced dependency profile of width $W$, the optimal frequency scales as $1/W$. This frequency-matching principle explains controlled observation
匹配采集文档中文标题、摘要、原始来源或文档类型。The case for a cooldown: Why Dependabot now waits before issuing version updates
A new default three-day cooldown delays version update pull requests so maintainers and security researchers can address findings in a release before it gets into your code. The post The case for a cooldown: Why Dependabot now waits before issuing version updates appeared first on The GitHub Blog .
匹配采集文档中文标题、摘要、原始来源或文档类型。Japan’s Enterprises and Startups Build Industry-Specialized AI With NVIDIA Nemotron Open Models
News Summary: Institution of Science Tokyo, SoftBank Corp., SB Intuitions Corp. and Stockmark are adopting NVIDIA Nemotron to build locally developed AI models designed to serve Japanese users, businesses and institutions amid the country’s demographic and workforce transition. Japanese enterprises avatarin, ENEOS Holdings, Hitachi and NTT DATA are building Japanese-language AI applications with NVIDIA Nemotron, from remote-presence robotics to enterprise agents and specialized medical and contact centers. Sakana AI is integrating NVIDIA Nemotron into its Fugu model-routing platform, expanding
匹配采集文档中文标题、摘要、原始来源或文档类型。At AI Summit, South Korea Outlines Its AI Future With NVIDIA and Partners
At this week’s AI Summit in San Francisco, South Korean President Jae Myung Lee and some of the country’s top business leaders and researchers are meeting with NVIDIA and ecosystem partners to chart Korea’s AI progress. Building on NVIDIA founder and CEO Jensen Huang’s visit to Korea last month, this week’s discussions and announcements advance […]
匹配采集文档中文标题、摘要、原始来源或文档类型。A scorecard for the AI age
Sarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
匹配采集文档中文标题、摘要、原始来源或文档类型。