AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into water. While such principles seem obvious to humans, they must be taught to AI models tasked
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Category: Misc
NVIDIA (NASDAQ: NVDA) today reported revenue for the second quarter ended July 27, 2025, of $46.7 billion, up 6% from the previous quarter and up 56% from a year ago. NVIDIA’s Blackwell Data Center revenue grew 17% sequentially.
When a CUDA kernel requires more hardware registers than are available, the compiler is forced to move the excess variables into local memory, a process known…
You’ve built a powerful AI agent and are ready to share it with your colleagues, but have one big fear: Will the agent work if 10, 100, or even 1,000…
You’ve built a powerful AI agent and are ready to share it with your colleagues, but have one big fear: Will the agent work if 10, 100, or even 1,000 coworkers try to use it at the same time? Answering this critical question is a key part of bringing an AI agent to production. We recently faced this question as part of our internal deployment of a deep-research agent using the AI-Q NVIDIA…
NVIDIA is reshaping the landscape of data-center connectivity by seamlessly integrating optical and electrical components. But it’s not doing it alone….
NVIDIA is reshaping the landscape of data-center connectivity by seamlessly integrating optical and electrical components. But it’s not doing it alone. Central to this breakthrough is close collaboration with partners across the industry. The NVIDIA networking platform brings together best-in-class technologies from leading partners specializing in advanced foundry processes…
NVIDIA today announced leading global enterprises have adopted NVIDIA RTX PRO™ Servers — a new category of enterprise data center infrastructure powered by the RTX PRO 6000 Blackwell Server Edition GPU — speeding the shift from general-purpose computing clusters to AI factory infrastructure, without a complete data center overhaul.
Robotics is undergoing a revolution, moving beyond the era of specialist machines to generalist robotics. This shift moves away from single-purpose,…
Robotics is undergoing a revolution, moving beyond the era of specialist machines to generalist robotics. This shift moves away from single-purpose, fixed-function robots toward adaptable robots trained to perform diverse tasks across varied environments. Inspired by human cognition, these adaptable robots combine fast, reactive responses with high-level reasoning and planning…
As autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies, developers need tools that are powerful, efficient and built to meet automotive-grade safety requirements. The NVIDIA DRIVE AGX Thor developer kit — now available for preorder today, with delivery in September — provides developers
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Robots around the world are about to get a lot smarter as physical AI developers plug in NVIDIA Jetson Thor modules — new robotics computers that can serve as the brains for robotic systems across research and industry. Robots demand rich sensor data and low-latency AI processing. Running real-time robotic applications requires significant AI compute
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NVIDIA today announced the general availability of the NVIDIA Jetson AGX Thor™ developer kit and production modules, powerful new robotics computers designed to power millions of robots across industries including manufacturing, logistics, transportation, healthcare, agriculture and retail.
