High-performance computing (HPC) customers continue to scale rapidly, with generative AI, large language models (LLMs), computer vision, and other uses leading... High-performance computing (HPC) customers...
Making Robot Perception More Efficient on NVIDIA Jetson Thor
Building autonomous robots requires robust, low-latency visual perception for depth, obstacle recognition, localization, and navigation in dynamic environments.... Source
Build and Run Secure, Data-Driven AI AgentsÂ
As generative AI advances, organizations need AI agents that are accurate, reliable, and informed by data specific to their business. The NVIDIA AI-Q Research... As...
Model Quantization: Concepts, Methods, and Why It Matters
AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address... AI models are...
Breaking Through Reinforcement Learning Training Limits with Scaling Rollouts in BroRL
When training large language models (LLMs) with reinforcement learning from verifiable rewards (RLVR), one of the most compelling questions is how to overcome... When training...