We’re celebrating the more than 2 million developers now using the NVIDIA robotics stack. These builders are reshaping industries across manufacturing, food delivery, agriculture, healthcare, facilities maintenance and much more.
In every meeting, call, crowded room, or voice-enabled app, technology has a core question: who is speaking, and when? For decades, answering that question in…
In every meeting, call, crowded room, or voice-enabled app, technology has a core question: who is speaking, and when? For decades, answering that question in real-time transcription was almost impossible without specialized equipment or offline batch processing. NVIDIA Streaming Sortformer, an open, production-grade diarization model, changes what’s possible. It’s designed for low latency…
Of around 7,000 languages in the world, a tiny fraction are supported by AI language models. NVIDIA is tackling the problem with a new dataset and models that support the development of high-quality speech recognition and translation AI for 25 European languages — including languages with limited available data like Croatian, Estonian and Maltese. These
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Join us on Aug. 21 to see how NVIDIA NeMo Agent toolkit boosts multi-agent workflows with deep MCP integration.
Join us on Aug. 21 to see how NVIDIA NeMo Agent toolkit boosts multi-agent workflows with deep MCP integration.
Warhammer 40,000: Dawn of War – Definitive Edition is marching onto GeForce NOW, expanding the cloud gaming platform’s library to over 2,300 supported titles. Battle is just a click away, as the iconic real-time strategy game joins seven new releases this week. Commanders can prepare their squads and steel their nerves on any device —
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NVIDIA is partnering with the U.S. National Science Foundation (NSF) to create an AI system that supports the development of multimodal language models for advancing scientific research in the United States. The partnership supports the NSF Mid-Scale Research Infrastructure project, called Open Multimodal AI Infrastructure to Accelerate Science (OMAI). “Bringing AI into scientific research has
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If you’ve ever installed an NVIDIA GPU-accelerated Python package, you’ve likely encountered a familiar dance: navigating to pytorch.org, jax.dev,…
If you’ve ever installed an NVIDIA GPU-accelerated Python package, you’ve likely encountered a familiar dance: navigating to pytorch.org, jax.dev, rapids.ai, or a similar site to find the artifact built for your NVIDIA CUDA version. You then copy a custom pip, uv, or other installer command with a special index URL or special package name such as . This isn’t just an inconvenience…
Currently, one of the most compelling questions in AI is whether large language models (LLMs) can continue to improve through sustained reinforcement learning…
Currently, one of the most compelling questions in AI is whether large language models (LLMs) can continue to improve through sustained reinforcement learning (RL), or if their capabilities will eventually plateau. Developed by NVIDIA Research, ProRL v2 is the latest evolution of Prolonged Reinforcement Learning (ProRL), specifically designed to test the effects of extended RL training on…