Thursday, June 26, 2025

Your Personalized Developer News from NVIDIA

Read the latest tutorials and news curated for you.
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Top Stories For You
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Run Google DeepMind's Gemma 3n on NVIDIA Jetson and RTX
As of today, NVIDIA now supports the general availability of Gemma 3n on NVIDIA RTX and Jetson. Gemma, previewed by Google DeepMind at Google I/O last month,...
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Check Out Sovereign AI in Practice Through an NVIDIA Webinar
Join NVIDIA experts and leading European model builders on July 8 for a webinar on building and deploying multilingual large language models.
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How to Streamline Complex LLM Workflows Using NVIDIA NeMo-Skills
A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or...
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Powering the Next Frontier of Networking for AI Platforms with NVIDIA DOCA 3.0
The NVIDIA DOCA framework has evolved to become a vital component of next-generation AI infrastructure. From its initial release to the highly anticipated...
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NVIDIA Run:ai and Amazon SageMaker HyperPod: Working Together to Manage Complex AI Training
NVIDIA Run:ai and Amazon Web Services have introduced an integration that lets developers seamlessly scale and manage complex AI training workloads. Combining...
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Introducing NVFP4 for Efficient and Accurate Low-Precision Inference
To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as...
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Upcoming Livestream: Beyond the Algorithm With NVIDIA
Join us on June 26 to learn how to distill cost-efficient models with the NVIDIA Data Flywheel Blueprint.
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Making Industrial Robots More Nimble With NVIDIA Isaac Manipulator and Vention MachineMotion AI
As industrial automation accelerates, factories are increasingly relying on advanced robotics to boost productivity and operational resilience. The successful...
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Improved Performance and Monitoring Capabilities with NVIDIA Collective Communications Library 2.26
The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multinode communication primitives optimized for NVIDIA GPUs and networking. NCCL...
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Compiler Explorer: An Essential Kernel Playground for CUDA Developers
Have you ever wondered exactly what the CUDA compiler generates when you write GPU kernels? Ever wanted to share a minimal CUDA example with a colleague...
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How Early Access to NVIDIA GB200 Systems Helped LMArena Build a Model to Evaluate LLMs
LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and...
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AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science
NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to...
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Benchmarking LLM Inference Costs for Smarter Scaling and Deployment
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to determine the cost of LLM...
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Getting Started with Project G-Assist: Build a Twitch-Integrated Plug-in
Today, tweaking your PC to suit your workflows often involves digging through menus and settings across multiple control panels. Project G-Assist is an...
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R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research
Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation,...
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Power Real-Time AI Media Effects with New AI Reference Apps on NVIDIA Holoscan for Media
Live media workflows are increasingly using AI microservices to augment production capabilities. However, advanced AI models are mostly hosted in the cloud,...
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Isaac Sim and Isaac Lab Are Now Available for Early Developer Preview
NVIDIA today released developer previews of NVIDIA Isaac Sim and NVIDIA Isaac Lab — reference robotics simulation and learning frameworks. Now available on...
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Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models
Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training...
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