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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Category: Misc
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…
As quantum processor unit (QPU) builders and algorithm developers work to create large-scale, commercially viable quantum supercomputers, they are increasingly…
As quantum processor unit (QPU) builders and algorithm developers work to create large-scale, commercially viable quantum supercomputers, they are increasingly concentrating on quantum error correction (QEC). It represents the greatest opportunity and the biggest challenge in current quantum computing research. CUDA-Q QEC aims to speed up researchers’ QEC experiments through the rapid…
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 25th
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The emergence of several new-frontier, open source models in recent weeks, including OpenAI’s gpt-oss and Moonshot AI’s Kimi K2, signals a wave of rapid LLM…
The emergence of several new-frontier, open source models in recent weeks, including OpenAI’s gpt-oss and Moonshot AI’s Kimi K2, signals a wave of rapid LLM innovation. Dynamo 0.4, available today, delivers new capabilities aimed at deploying such models at scale and with low cost. It focuses on performance, observability, and autoscaling based on service-level objectives (SLO). Key Dynamo 0.
Black Forest Labs’ FLUX.1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice. FLUX.1 models allow users to edit existing images with simple language, without the need for fine-tuning or complex workflows. Deploying powerful AI requires curation of model variants, adaptation to manage all input and output data, and quantization to
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Using NVIDIA digital twin technologies, Amazon Devices & Services is powering big leaps in manufacturing with a new physical AI software solution. Deployed this month at an Amazon Devices facility, the company’s innovative, simulation-first approach for zero-touch manufacturing trains robotic arms to inspect diverse devices for product-quality auditing and integrate new goods into the production
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