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Hackathon Winners Bring Agentic AI to Life with the NVIDIA NeMo Agent Toolkit

Decorative image.The best way to learn a new toolkit is to build something real, and that’s exactly what developers did at the recent NVIDIA NeMo Agent Toolkit Hackathon. Over…Decorative image.

The best way to learn a new toolkit is to build something real, and that’s exactly what developers did at the recent NVIDIA NeMo Agent Toolkit Hackathon. Over two weeks, participants across skill levels—from students to seasoned professionals—experimented, prototyped, and created intelligent multi-agent AI workflows using the open-source NeMo Agent toolkit (formerly known as the AIQ toolkit).

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Isambard-AI, the UK’s Most Powerful AI Supercomputer, Goes Live

The University of Bristol’s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI performance, making it the fastest system in the U.K. and among the most energy-efficient globally.

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NVIDIA Canary‑Qwen‑2.5B: Open‑Source ASR/LLM for Superior Transcription and Summarization

Top‑ranked on the HuggingFace Open‑ASR leaderboard, the model is production‑ready.

Top‑ranked on the HuggingFace Open‑ASR leaderboard, the model is production‑ready.

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Safeguard Agentic AI Systems with the NVIDIA Safety Recipe

As large language models (LLMs) power more agentic systems capable of performing autonomous actions, tool use, and reasoning, enterprises are drawn to their…

As large language models (LLMs) power more agentic systems capable of performing autonomous actions, tool use, and reasoning, enterprises are drawn to their flexibility and low inference costs. This growing autonomy elevates risks, introducing goal misalignment, prompt injection, unintended behaviors, and reduced human oversight, making the incorporation of robust safety measures paramount.

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Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced…

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced datasets and the need for more nuanced evaluation metrics. We also explored how NVIDIA CUDA-X data science libraries—like cuDF and cuML—can help overcome these challenges and accelerate machine learning workflows.In this blog…

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Back to The Future: Evaluating AI Agents on Predicting Future Events

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Five Big Improvements to Gradio MCP Servers

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GeForce NOW Delivers Justice With ‘RoboCop: Rogue City — Unfinished Business’

Listen up citizens, the law is back and patrolling the cloud. Nacon’s RoboCop Rogue City — Unfinished Business launches today in the cloud, bringing justice to every device, everywhere. Log in, lock and load, and take charge with the ten games heading to the cloud this week. Plus, Cyberpunk 2077’s 2.3 update amps up the
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Driving AI-Powered Robotics Development with NVIDIA Isaac for Healthcare

Robots in healthcare images.By 2030, the World Health Organization projects a global shortage of over 15 million healthcare workers, including surgeons, radiologists, and nurses. In the…Robots in healthcare images.

By 2030, the World Health Organization projects a global shortage of over 15 million healthcare workers, including surgeons, radiologists, and nurses. In the US, the shortfall could reach 124,000 physicians by 2034. Rising demand, aging populations, and limited human capacity are pushing healthcare systems to a breaking point. AI-enabled robotic systems offer a path forward.

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R²D²: Training Generalist Robots with NVIDIA Research Workflows and World Foundation Models

Robot GIF.A major challenge in robotics is training robots to perform new tasks without the massive effort of collecting and labeling datasets for every new task and…Robot GIF.

A major challenge in robotics is training robots to perform new tasks without the massive effort of collecting and labeling datasets for every new task and environment. Recent research efforts from NVIDIA aim to solve this challenge through the use of generative AI, world foundation models (WFMs) like NVIDIA Cosmos, and data generation blueprints such as NVIDIA Isaac GR00T-Mimic and GR00T-Dreams.

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