Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer
https://developer.nvidia.com/blog/developing-nemotron-3-5-lightning-nvfp4-with-qad-using-nvidia-model-optimizer/
https://developer.nvidia.com/blog/developing-nemotron-3-5-lightning-nvfp4-with-qad-using-nvidia-model-optimizer/
NVIDIA Technical Blog
Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer
Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find the right-sized model for their needs.
Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy
https://developer.nvidia.com/blog/run-massive-scale-umap-in-minutes-using-multiple-gpus-without-losing-accuracy/
https://developer.nvidia.com/blog/run-massive-scale-umap-in-minutes-using-multiple-gpus-without-losing-accuracy/
NVIDIA Technical Blog
Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy
Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications range across exploratory data analysis…
How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit
https://developer.nvidia.com/blog/how-ai-coding-agents-can-unlock-materials-simulation-with-nvidia-alchemi-toolkit/
https://developer.nvidia.com/blog/how-ai-coding-agents-can-unlock-materials-simulation-with-nvidia-alchemi-toolkit/
NVIDIA Technical Blog
How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit
Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the simulation stack. The first remains the…
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control
https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control/
https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control/
NVIDIA Technical Blog
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control
Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for learning physical interactions…
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Building Federated Multimodal AI Workflows with NVIDIA FLARE
https://developer.nvidia.com/blog/building-federated-multimodal-ai-workflows-with-nvidia-flare/
https://developer.nvidia.com/blog/building-federated-multimodal-ai-workflows-with-nvidia-flare/
NVIDIA Technical Blog
Building Federated Multimodal AI Workflows with NVIDIA FLARE
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data needed to adapt these models may be…
Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents
https://developer.nvidia.com/blog/developing-nvidia-holoscan-applications-with-cli-skills-and-ai-coding-agents/
https://developer.nvidia.com/blog/developing-nvidia-holoscan-applications-with-cli-skills-and-ai-coding-agents/
NVIDIA Technical Blog
Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a growing collection of reference applications…
Bring the Fire: Play Games on GeForce NOW With New Firefox Browser Support
https://blogs.nvidia.com/blog/geforce-now-thursday-firefox/
https://blogs.nvidia.com/blog/geforce-now-thursday-firefox/
NVIDIA Blog
Bring the Fire: Play Games on GeForce NOW With New Firefox Browser Support
GeForce NOW welcomes Firefox support to the cloud and delivers 12 new games this week, with 'Gallipoli' leading the charge.
How Generative Recommenders Are Redefining RecSys at Scale
https://developer.nvidia.com/blog/how-generative-recommenders-are-redefining-recsys-at-scale/
https://developer.nvidia.com/blog/how-generative-recommenders-are-redefining-recsys-at-scale/
NVIDIA Technical Blog
How Generative Recommenders Are Redefining RecSys at Scale
Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and serve at scale. The advent of LLMs has…
NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/
https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/
NVIDIA Technical Blog
NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives context, uses tools, maintains state…
Where Security Fits in an AI Agent Stack
https://developer.nvidia.com/blog/where-security-fits-in-an-ai-agent-stack/
https://developer.nvidia.com/blog/where-security-fits-in-an-ai-agent-stack/
NVIDIA Technical Blog
Where Security Fits in an AI Agent Stack
As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important. Drawing on work with NVIDIA OpenShell…
Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS
https://developer.nvidia.com/blog/maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps/
https://developer.nvidia.com/blog/maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps/
NVIDIA Technical Blog
Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS
AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available megawatt can deliver.
GPU-Accelerated Clustering for Financial Instruments at Scale
https://developer.nvidia.com/blog/gpu-accelerated-clustering-for-financial-instruments-at-scale/
https://developer.nvidia.com/blog/gpu-accelerated-clustering-for-financial-instruments-at-scale/
NVIDIA Technical Blog
GPU-Accelerated Clustering for Financial Instruments at Scale
Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor loadings, and structural-break signals at…