The auto-updated technology brief
NVIDIA researchers have developed an Ising decoding method that reduces logical error rates in quantum color codes by over 300 times, advancing fault-tolerant quantum computing.
NVIDIA released Video Codec SDK 13.1 featuring zero-copy transcode, AV1 B-frames support, and frame-accurate seeking to enhance video pipeline efficiency and quality.
NVIDIA's Vera CPU enhances AI factory throughput by accelerating agentic workloads that involve multi-step workflows combining inference, tool use, and orchestration, improving CPU performance between model steps.
A team at Beijing Institute of Technology developed night vision goggles that translate infrared wavelengths into distinct visible colors, providing a more natural visual experience.
NVIDIA's BioNeMo Agent Toolkit enhances the speed and scalability of biomolecular structure prediction and co-folding workflows using OpenFold3, benefiting drug discovery and protein design.
This article explains how kernel fusion in NVIDIA CUDA can improve GPU performance by enhancing memory bandwidth utilization and reducing kernel launch overhead, providing practical ways to apply these optimizations in CUDA code.
Robotics foundation models have advanced to follow natural language instructions for manipulating objects, but rigorous evaluation remains a key challenge. This article introduces the main problems and a method to address them.
A study from Nanjing University shows recycling could become the main source of key materials for EV manufacturing in China by 2050, despite challenges from evolving battery chemistries.
This article discusses the balance of accuracy, throughput, and interactivity in AI performance, focusing on how model design choices impact throughput and interactivity in large language models.
LLM training workloads face GPU memory limits due to competing demands on high-bandwidth memory. This article explains how host offloading can alleviate these bottlenecks in JAX-based training.
Telecom operators have invested over $240B in wireless spectrum. AI-native RAN and NVIDIA AI Aerial aim to maximize spectral efficiency, enhancing network capacity and resilience.
This article explores GPU-initiated communication techniques to enhance molecular dynamics simulations, enabling researchers to efficiently observe atomic behavior in demanding computational workloads.