AIニュース

At GTC Berlin, banks, payment companies and financial data providers are showing what production-scale intelligence looks like — built on NVIDIA accelerated computing, powered by open weight models and running on their own infrastructure. Revolut is rebuilding its technology stack on a single foundation model PRAGMA, powered by NVIDIA accelerated computing. Using the NVIDIA cuDF […]

To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints. Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open […]

Companies around the world are building on the NVIDIA DSX AI Factory Platform to plan, simulate and run the grid and the AI factory as one system, from the substation to the rack. Their adoption of the platform responds to an acute problem. Power is now the biggest bottleneck in infrastructure. More than $300 billion […]

European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin. Frontier Results With Open Models Retail leaders and technology companies across Europe are using NVIDIA-accelerated open […]

Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions. A global forecast can show a storm taking shape, but decisions about solar farms, shipping routes or insured property depend on what happens locally. NVIDIA Earth-2 gives developers and researchers a […]

Governments need modern solutions to serve the public while keeping sensitive information under their control. Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, […]

Explore a comprehensive coding guide benchmarking Cactus Compute's 16.9 MB speech model against Whisper base. Learn about word error rates, CPU speed, streaming latency, and speech-to-tool integration. The post A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU appeared first on MarkTechPost .

Discover NVIDIA Nsight Python, an open-source interface that allows developers to profile GPU kernels, analyze hardware metrics, evaluate cache and clock controls, and measure kernel fusion directly from Python code. The post NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels appeared first on MarkTechPost .

OpenAIが流通パートナーと協力して、一貫したセーフガードを維持し、責任あるアクセスを支援し、利用ポリシーにおける期待事項を明確にする方法。

公益への投資

AWS PrivateLinkを使用してオンプレミスのデータソースをAmazon Quickにプライベートに接続し、分析トラフィックをパブリックインターネットから遮断する方法を学びます。このウォークスルーでは、ユーザーアクセスとAPIアクセス用のVPCエンドポイント、データソース用のVPC接続、DNSとエンドポイントポリシー、IDフェデレーション、コンプライアンスのためのVPCエンドポイント限定アクセスの適用について説明します。

多くのチームは数日でマルチエージェントAIのプロトタイプを構築しますが、本番環境で壁にぶつかります。この記事では、5つの本番環境の課題（オーケストレーション、エージェントごとのモデル選択、信頼性の高い運用、安全なコード実行、モニタリング）を定義し、AWS上のオープンソースマルチエージェントシステムであるDeep Insightがそれぞれをどのように解決するかを示します。