Category: Misc

With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of…

With the rise of physical AI, video content generation has surged exponentially. A single camera-equipped autonomous vehicle can generate more than 1 TB of video daily, while a robotics-powered manufacturing facility may produce 1 PB of data daily. To leverage this data for training and fine-tuning world foundation models (WFMs), you must first process it efficiently.

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Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can…

Enterprises are generating and storing more multimodal data than ever before, yet traditional retrieval systems remain largely text-focused. While they can surface insights from written content, they aren’t extracting critical information embedded in tables, charts, and infographics—often the most information-dense elements of a document. Without a multimodal retrieval system…

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The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market…

The world of robotics is undergoing a significant transformation, driven by rapid advancements in physical AI. This evolution is accelerating the time to market for new robotic solutions, enhancing confidence in their safety capabilities, and powering of physical AI in factories and warehouses. Announced at GTC, Newton is an open-source, extensible physics engine developed by NVIDIA…

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AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI factory is an extraordinary act of engineering and logistics — requiring tens of thousands of
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NVIDIA Dynamo Increases Inference Performance While Lowering Costs for Scaling Test-Time Compute; Inference Optimizations on NVIDIA Blackwell Boosts Throughput by 30x on DeepSeek-R1SAN JOSE, …

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for…

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for deploying generative AI and reasoning models in large-scale distributed environments. The framework boosts the number of requests served by up to 30x, when running the open-source DeepSeek-R1 models on NVIDIA Blackwell.

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NVIDIA today unveiled NVIDIA Spectrum-X™ and NVIDIA Quantum-X silicon photonics networking switches, which enable AI factories to connect millions of GPUs across sites while drastically reducing energy consumption and operational costs.

NVIDIA today announced the next evolution of the NVIDIA Blackwell AI factory platform, NVIDIA Blackwell Ultra — paving the way for the age of AI reasoning.

NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over…

NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over 250 tokens per second per user or a maximum throughput of over 30,000 tokens per second on the massive, state-of-the-art 671 billion parameter DeepSeek-R1 model. These rapid advancements in performance at both ends of the performance…

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NVIDIA today unveiled partnerships with industry leaders T-Mobile, MITRE, Cisco, ODC, a portfolio company of Cerberus Capital Management, and Booz Allen Hamilton on the research and development of AI-native wireless network hardware, software and architecture for 6G.