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In the standard PCMark 10 Battery Video Loop test, with screen brightness reduced to 80%, the laptop scored 4 hours and 34 minutes. This result is particularly disappointing, considering the company’s ...
Warp is a Python framework for writing high-performance simulation and graphics code. Warp takes regular Python functions and JIT compiles them to efficient kernel code that can run on the CPU or GPU.
But you can if you’re attending Nvidia’s GPU Technology Conference (GTC), where the company is selling its RTX 5080 and 5090 graphics cards from a pop-up “food truck” sales stall.
Update: Nvidia declined to comment. Nvidia (NASDAQ:NVDA) has acquired synthetic data company Gretel for nine figures, Wired reported, citing people familiar with the deal. The deal price surpassed ...
Nvidia has acquired synthetic data firm Gretel for nine figures, according to two people with direct knowledge of the deal. The acquisition price exceeds Gretel’s most recent valuation of $320 ...
When GPU-accelerated computing took off in 2010 and the GPU Technical Conference was new and the number of attendees was an order of magnitude smaller than the 25,000 attendees flocking to San Jose ...
Learn how to adjust GTA 5 graphics settings to achieve the best balance between stunning visuals and smooth performance. This guide explains key settings, provides optimal configurations for ...
Nvidia has unveiled a new model which could form the foundation of future humanoid robotics projects, representing a step forward toward a reality of generalist robots. The Nvidia Isaac Groot N1 ...
Nvidia is collaborating with Disney Research and Google DeepMind to develop Newton, a physics engine to simulate robotic movements in real-world settings, Nvidia CEO Jensen Huang announced at GTC ...
Nvidia's big AI conference, GTC 2025, kicked off in full on Tuesday. CEO Jensen Huang gave an update on Nvidia's road map, including launch timing for AI chips Blackwell Ultra and Rubin.
Building out the datacenters—or as NVIDIA calls them, "AI factories"—required for training and operating state-of-the-art AI models is extremely expensive. So much so that even hyperscalers ...
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