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.
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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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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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…
In recent years, AI workloads have grown exponentially—not only in the deployment of large language models (LLMs) but also in the demand to process ever more…
In recent years, AI workloads have grown exponentially—not only in the deployment of large language models (LLMs) but also in the demand to process ever more tokens during pretraining and post-training. As organizations scale up compute infrastructure to train and deploy multi-billion-parameter foundation models, the ability to sustain higher token throughput has become mission critical.
As the latest member of the NVIDIA Blackwell architecture family, the NVIDIA Blackwell Ultra GPU builds on core innovations to accelerate training and AI reasoning. It fuses silicon innovations with new levels of system-level integration, delivering next-level performance, scalability, and efficiency for AI factories and the large-scale, real-time AI services they power.
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Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make…
Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make iterating on your ideas harder than it should be. This post walks through five common pandas bottlenecks, how to recognize them, and some workarounds you can try on CPU with a few tweaks to your code—plus a GPU-powered drop-in…
NVIDIA today announced NVIDIA® Spectrum-XGS Ethernet, a scale-across technology for combining distributed data centers into unified, giga-scale AI super-factories.
AI reasoning, inference and networking will be top of mind for attendees of next week’s Hot Chips conference. A key forum for processor and system architects from industry and academia, Hot Chips — running Aug. 24-26 at Stanford University — showcases the latest innovations poised to advance AI factories and drive revenue for the trillion-dollar
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Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. These models are…
Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. These models are democratizing AI by making model weights, architectures, and training methodologies freely available to researchers, startups, and organizations worldwide. Developers everywhere can learn and build on innovative techniques including…