NVIDIA Blog (3 hours ago)
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.
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PARTNER CONTENT: AI is driving liquid cooling adoption, but hybrid architectures will help operators balance density, flexibility, and operational realities
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.
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.
Claude even played Keyboard Cat for itself to watch.
The nubia A75 came out in early 2024 – it was an affordable 4G phone. Since then, the company has introduced the nubia A76 4G and the nubia A77 4G. Now it’s time to say hello to the nubia A76! Wait, what?
That would require an abnormally fast timeline for any chip factory.
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.
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.
Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions.
Governments need modern solutions to serve the public while keeping sensitive information under their control.
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