Run GPU-Powered Black Hole Interferometry with NVIDIA cuPhoton
Imaging black holes is challenging because they are distant and appear tiny in the sky—for example, M87*’s observed ring spans just 42 microarcseconds. The...
Run Native DLA Inference in Python on NVIDIA Jetson AGX Orin Using cuDLA
AI applications at the edge often need to run multiple neural networks within limited compute and power budgets. NVIDIA Deep Learning Accelerator (DLA)...
Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5
Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a...
Speed Up Image Generation with FLUX 3 Image Klein on NVIDIA Blackwell GPUs
When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an...
NVIDIA CUDA 13.5 Brings NVIDIA Vera Rubin GA Support
As artificial intelligence and accelerated computing continue to push the boundaries of what's possible, the latest NVIDIA CUDA release arrives to unlock...
Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure....
Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4
Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more...
Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search
Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino...
Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile
NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to...
Code, Test, and Deploy on One Machine with NVIDIA RTX Spark
AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code....
Control How Your GPU Shares Work with Green Contexts
GPU applications increasingly consist of multiple independent components running at the same time within a single process: a latency-sensitive operator...
Efficient MoE Training for Biological Foundation Models
As language models grow, scaling dense architectures becomes increasingly expensive. In a dense transformer, every token passes through every layer, so adding...
Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS
GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move...
Translating CUDA Tile Operations from Python to Rust Using Agentic AI
cuTile Rust (cutile-rs) is a tile-based system for safe, idiomatic GPU kernel authoring in the Rust programming language. Extending the Rust ownership model to...
High-Throughput Structure Prediction with BioNeMo Inference Runtime
Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...
CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs
Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA...
