Healthcare and Life Sciences - Developer Resources
… MONAI Open-Source AI Frameworks MONAI is an open-source, domain-specific framework for developing, training, and deploying deep learning models for medical imaging. …
… MONAI Open-Source AI Frameworks MONAI is an open-source, domain-specific framework for developing, training, and deploying deep learning models for medical imaging. …
… Sionna Research Kit Built on an open source foundation and powered by NVIDIA’s state-of-the-art, GPU-accelerated libraries, the Sionna Research Kit makes rapid prototyping, training, and deployment of cutting-edge 5G and 6G algorithms achievable for everyone—from seasoned professionals to students. …
… Get started with TensorRT Edge-LLM for physical AI TensorRT Edge-LLM serves as the go-to-open-source, pure C++ inference runtime designed specifically for the mission-critical needs of automotive and robotics. …
… Download the NVIDIA Holoscan SDK To compile the open-source Holoscan SDK yourself, download it from GitHub . …
… She works with key partners and foundations to enable NVIDIA accelerated platform support for the open source developer ecosystem. …
… This blog explores optimization strategies to help developers maximize performance, efficiency, and capability on resource-constrained edge systems. Edge AI software stack Let’s dive deeper into the runtime software stack for edge devices . …
… Jetson Linux 38.4 1/06/2026 Drivers Driver Package BSP Camera SIPL Sample Root Filesystem Jetson Linux API Reference Sources Driver Package BSP Sources Sample Root Filesystem Sources Tools WebRTC Crosstool-NG Toolchain gcc Crosstool-NG Toolchain Sources CUDA Tools NVIDIA Nsight Systems NVIDIA Nsigh…
… More Resources Explore the Community Get Training and Certification Meet the Program for Startups Latest OSMO News FAQs 1. What is NVIDIA OSMO used for? OSMO is an open-source orchestrator purpose-built for physical AI. …
… NVIDIA AI Enterprise delivers validation and integration for NVIDIA AI open-source software, access to AI solution workflows to speed time to production, certifications to deploy AI everywhere, and enterprise-grade support, security, and API stability to mitigate the potential risks of open-source … …