22+ hour, 32+ min ago   (571+ words) Cutting through the noise starts with one deceptively simple question: What problem are you solving? Different use cases map to wildly different infrastructure footprints. At a high level, most inference workloads fall into one of these four buckets: After mapping…...

5+ day, 21+ hour ago   (1465+ words) Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal…...

1+ week, 1+ day ago   (1398+ words) For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or…...

2+ week, 17+ hour ago   (524+ words) Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the…...

2+ week, 23+ hour ago   (1463+ words) Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find the right-sized model for their needs. The new Nemotron 3.5 Lightning NVFP4 checkpoint, for example, preserves accuracy…...

2+ week, 5+ day ago   (404+ words) Deploying a 2.4T parameter open-weight model requires data-center-scale accelerated compute. Inference at this scale depends on extreme co-design across chips, system architecture, and software. NVIDIA is working with the open-source ecosystem to bring the model to multinode deployments through optimized kernels,…...

1+ mon, 19+ hour ago   (24+ words) A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene…...

1+ mon, 15+ hour ago   (905+ words) As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1)....

1+ mon, 1+ day ago   (949+ words) NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users access to CUDA-X performance for common math operations without disrupting existing workflows. Depending on the API,…...

1+ mon, 1+ week ago   (805+ words) NVIDIA ModelExpress (MX) is built around a simple idea: Before loading a model, first ask where a compatible copy of its weights already lives. Rather than treating every replica as an independent cold start, MX chooses the fastest available source and…...