…ACE provides ready-to-integrate cloud and on-device AI models for every part of in-game characters, from speech to intelligence to animation. To run these models alongside the game engine…
…Learn More Scientific Computing Libraries For applications requiring neural networks that respect mathematical symmetries—specifically, equivariance with respect to 3D geometric data, such as molecular structures, proteins, and materials. cuEquivariance An open…
…The NVIDIA Agent Toolkit and OpenShell enable continuous agent skill development and secure deployment across scales, from individual PCs to enterprise GPU clusters, while supporting integration with coding agents like Claude Code…
…By utilizing HPC systems with acceleration and specialized networking, scientists can meet these demands. Using cuPyNumeric, programmers are able to utilize a single programming model that works both on traditional systems and…
…Hybrid Models Megatron Core expanded its support from Transformer-based models to hybrid models that combine state space models, state space dualities, and recurrent neural networks. Hybrid models have emerged as a…
…was an integral part of the team that developed the Clara-Train SDK and AIAA (Artificial Intelligence Assisted Annotation), which has since been integrated into MONAI (Medical Open Network for AI). Yuan…
…Enable Multi-Camera Tracking Across a Range of Cameras Multiview 3D tracking (MV3DT), an extension of DeepStream NvTracker, enables distributed, real-time 3D tracking across networks of cameras. It works seamlessly with…
…Optimizing Communication with Nsight Systems Network Profiling Learn how to use Nsight Systems' network profiling capabilities and see how real-world applications utilize GPUs, CPUs, and networking hardware. Overcoming Pre- and Post…
…It offers a modular architecture with customizable model support and exposes REST APIs, enabling easy integration with other technologies. We’ve used REST APIs to integrate this blueprint in the project discussed…
…operators and graph neural networks to diffusion and transformer-based models—that are designed to capture complex, continuous physical phenomena using state-of-the-art architectures. By integrating these architectures with optimized…