Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code, and lengthy development cycles.

The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. Meeting these requirements calls for new approaches…

Agents are evolving from question-and-answer systems into long-running autonomous assistants that read files, call APIs, and drive multi-step workflows. However, deploying an agent to execute code and…

Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents. Spotify reports 650+ agent-generated PRs per…

At Hannover Messe 2026, running April 20-24 in Hannover, Germany, NVIDIA and its partners are demonstrating AI-driven manufacturing in action.

AI tools are significantly accelerating software development and changing how developers work with code. These tools serve as real-time copilots, automating repetitive tasks, executing tasks…

Creative AI agents, secured by the NVIDIA OpenShell runtime, generate on-brand content, transforming how brands create, personalize and activate content.

As LLMs transition from simple text generation to complex reasoning, reinforcement learning (RL) plays a central role. Algorithms like Group Relative Policy Optimization (GRPO) power this transition…

The boom in open source generative AI models is pushing beyond data centers into machines operating in the physical world. Developers are eager to deploy these models at the edge…

Companies can build AI factories with NVIDIA Vera Rubin-powered A5X instances scaling up to nearly 1 million Rubin GPUs, Gemini on Google Distributed Cloud, confidential NVIDIA Blackwell GPUs and agentic AI built on Gemini Enterprise Agent Platform with NVIDIA…

Across climate, conservation, disaster monitoring and recycling, NVIDIA AI is enabling applications protecting the planet.

Higher-order optimization algorithms such as Shampoo have been effectively applied in neural network training for at least a decade. These methods have achieved significant success more recently when…

AI integration is redefining mainstream enterprise applications, from productivity software like Microsoft Office to more complex design and engineering tools. This shift requires the modern data…

In a previous post, we introduced the Universal Sparse Tensor (UST), enabling developers to decouple a tensor’s sparsity from its memory layout for greater flexibility and performance.

This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data.

New in-app labels and a members’ reward tops off the week of six new games in the cloud, including ‘Vampire Crawlers: The Turbo Wildcard.’

Over 10,000 NVIDIANs across functions got early access to OpenAI’s latest frontier model, GPT-5.5. The results, one engineer said, are “blowing my mind.”

In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground competition. Success in modern machine learning…

Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data is often the least movable. Regulatory boundaries…

DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient million-token context inference.