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NVIDIA Blackwell Delivers Breakthrough Performance in Latest MLPerf Training Results

NVIDIA is working with companies worldwide to build out AI factories — speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened performance requirements of these new applications. In the latest round of MLPerf Training — the
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NVIDIA RTX Blackwell GPUs Accelerate Professional-Grade Video Editing

4:2:2 cameras — capable of capturing double the color information compared with most standard cameras — are becoming widely available for consumers. At the same time, generative AI video models are rapidly increasing in functionality and quality, making new tools and workflows possible. NVIDIA RTX GPUs based on the NVIDIA Blackwell architecture include dedicated hardware
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CodeAgents + Structure: A Better Way to Execute Actions

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KV Cache from scratch in nanoVLM

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New NVIDIA Llama Nemotron Nano Vision Language Model Tops OCR Benchmark for Accuracy

An illustration for NVIDIA Llama Nemotron Nano VL.Documents such as PDFs, graphs, charts, and dashboards are rich sources of data that, when extracted and organized, provide informative decision-making…An illustration for NVIDIA Llama Nemotron Nano VL.

Documents such as PDFs, graphs, charts, and dashboards are rich sources of data that, when extracted and organized, provide informative decision-making insights. From automating financial statement processing to improving business intelligence workflows, intelligent document processing is becoming a core component of AI solutions in enterprises. Organizations can accelerate the AI…

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NVIDIA Base Command Manager Offers Free Kickstart for AI Cluster Management

As AI and high-performance computing (HPC) workloads continue to become more common and complex, system administrators and cluster managers are at the heart of…

As AI and high-performance computing (HPC) workloads continue to become more common and complex, system administrators and cluster managers are at the heart of keeping everything running smoothly. Their work—building, provisioning, and managing clusters—powers innovation across industries, but it’s not without its challenges. Listening to these teams, NVIDIA has heard a clear message: Access…

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SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data

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NO GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL

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Bring Receipts: New NVIDIA AI Blueprint Detects Fraudulent Credit Card Transactions With Precision

Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade.

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NVIDIA Announces Financial Results for First Quarter Fiscal 2026

NVIDIA (NASDAQ: NVDA) today reported revenue for the first quarter ended April 27, 2025, of $44.1 billion, up 12% from the previous quarter and up 69% from a year ago.