AI scientists are emerging as a new interface for scientific computing. These agents can read papers, write code, generate hypotheses, call APIs, inspect files, and iterate on results. But science isn’…

As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs generate tokens sequentially…

Power can account for 40% of the operating expenses (OpEx) to run an AI factory. Each watt can be spent on overhead, data ingestion, training, or generating tokens for customers. And most sites are…

Across Amazon OpenSearch and Amazon EC2, NVIDIA AI infrastructure is giving enterprises more practical paths to deploy AI at production scale.

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird’s-eye-view (BEV) perception. BEV models project multicamera image features into a shared…

Big summer deals arrive along with ‘Dark Scrolls’ and ‘The Adventures of Elliot: The Millennium Tales’ joining six new games this week.

AI companions in games have long been constrained by fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for PUBG: BATTLEGROUNDS, this AI teammate is powered by NVIDIA ACE and…

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the challenge is scaling across multiple…

Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary data through a process called resource…

As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an optimization technique that compresses model…

AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep some context across a session. Today…

AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on behalf of a user.

NVIDIA Nemotron open models help Palantir advance US technology leadership with mission-specific sovereign AI for government agencies and critical infrastructure operators.

The NVIDIA Inception member’s Ocula moon imaging service will harness the NVIDIA Jetson platform for edge AI, running inference directly in space to significantly accelerate insights compared with downlinking all data back down to Earth.

Now generally available in Microsoft Foundry, Claude on NVIDIA GB300 Blackwell Ultra gives Azure-native enterprises a new foundation for building autonomous and domain-specific AI agents.

Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems.

When Jaiveer Singh talks about robots, he doesn’t begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot’s cameras and the engineering required before a robot can leave a demo…

Baseten, Cognition, Deep Infra, Together AI and Cursor are seeing compounding value from NVIDIA’s software and open source ecosystem.

Anthropic’s Claude Science, an AI workbench for science research, lets scientists use agents to build workflows harnessing NVIDIA BioNeMo models, libraries and accelerated workflows.

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such as cameras and lidar. It is used to…

GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances—including high bandwidth memory (HBM), NVIDIA NVLink-C2C, and dedicated decompression engines…