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....
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...
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...
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...
Building Better Qubits with GPU-Accelerated Computing
Quantum computing promises to revolutionize science and industry, from drug discovery to materials science. But building a useful, large-scale quantum computer...
Building Scalable AI on Enterprise Data with NVIDIA Nemotron RAG and Microsoft SQL Server 2025
At Microsoft Ignite 2025, the vision for an AI-ready enterprise database becomes a reality with the announcement of Microsoft SQL Server 2025, giving developers...
Faster Chemistry and Materials Discovery with AI-Powered Simulations Using NVIDIA ALCHEMI
Almost all manufactured products are enabled by chemistry and materials science. However, new discoveries are costly and time-consuming and often hindered by...
NVIDIA NVQLink Architecture Integrates Accelerated Computing with Quantum Processors
Quantum computing is entering an era where progress will be driven by the integration of accelerated computing with quantum processors. The hardware that...
Pioneering AI Co-Scientists for Fusion Research and Cancer Treatment
AI is reshaping scientific research and innovation. Scientists can leverage AI to generate, summarize, combine, and analyze scientific data. AI models can find...
Achieve CUTLASS C++ Performance with Python APIs Using CuTe DSL
CuTe, a core component of CUTLASS 3.x, provides a unified algebra for describing data layouts and thread mappings, and abstracts complex memory access patterns...
How to Get Started with Neural Shading for Your Game or Application
For the past 25 years, real-time rendering has been driven by continuous hardware improvements. The goal has always been to create the highest fidelity image...
NVIDIA Blackwell Architecture Sweeps MLPerf Training v5.1 Benchmarks
The NVIDIA Blackwell architecture powered the fastest time to train across every MLPerf Training v5.1 benchmark, marking a clean sweep in the latest round of...
Fusing Communication and Compute with New Device API and Copy Engine Collectives in NVIDIA NCCL 2.28
The latest release of the NVIDIA Collective Communications Library (NCCL) introduces a groundbreaking fusion of communication and computation for higher...
Building Scalable and Fault-Tolerant NCCL Applications
The NVIDIA Collective Communications Library (NCCL) provides communication APIs for low-latency and high-bandwidth collectives, enabling AI workloads to scale...
