NVIDIA ACE for Games
…Get Started with NVIDIA ACE On-Device The NVIDIA In-Game Inferencing (NVIGI) SDK offers a streamlined and high-performance path to integrate locally run AI models into games and applications via…
…Get Started with NVIDIA ACE On-Device The NVIDIA In-Game Inferencing (NVIGI) SDK offers a streamlined and high-performance path to integrate locally run AI models into games and applications via…
…Learn more AI integration is redefining mainstream enterprise applications, from productivity software like Microsoft Office to more complex design and engineering tools. This shift requires the modern data center to move beyond…
…Supporting LLMs, multimodal models, RAG, and agentic workflows, NeMo delivers scalable, production-ready AI applications. Integrated with NVIDIA accelerated computing and deployable via optimized microservices, it provides high performance, security, and portability…
…Partners like Yuan and Deltacast provide state-of-the-art IO capture cards that integrate seamlessly with Holoscan, enabling rapid data transfer directly to GPU memory. View Reference Application: High-Speed Endoscopy…
…By integrating VLMs, developers can significantly improve how XR applications interpret and interact with user actions, making them more responsive and intuitive. This post walks you through how to leverage the NVIDIA…
…To run these models alongside the game engine efficiently, the NVIDIA In-Game Inferencing (NVIGI) SDK includes a set of performant libraries that developers can integrate into C++ games and applications. NVIDIA…
…easily integrate with autonomous agents. In this post you will learn how to use the new VSS skills with coding agents to automate VSS deployment and integration into custom applications, followed by…
…Simplify Development Experiment and prototype new agentic AI applications quickly and easily with the toolkit’s YAML configuration builder. With universal descriptors for agents, tools, and workflows, you can flexibly choose and…
…Slinky , an open source project developed by SchedMD (now part of NVIDIA), takes two approaches to this integration: slurm-bridge brings Slurm scheduling to native Kubernetes workloads, allowing Slurm to act as…
…Also, the Implicit Material Point Method (iMPM) handles particle simulation (granular material) applicable to rough terrain locomotion scenarios. The VBD and MPM solvers can be coupled with MuJoCo Warp explicitly to support…