Accelerate medical imaging workflows with NVIDIA MONAI, a comprehensive suite of enterprise-grade containers, AI models, and microservices that provide a secure, NVIDIA-supported platform anchored on the open-source Project MONAI. With specialized AI workflows, enterprise developers can build, enhance, and deploy Imaging AI solutions in diverse healthcare and life sciences applications.
Develop, reproduce, and standardize on medical AI life cycles with domain-specific tools for data labeling, model training, and application development.
Accelerate data science pipelines and streamline the development and deployment of medical AI to automate processes and gain fast insights from data.
Shorten time to market and offload costs with a managed service that ensures AI initiatives stay on track.
NVIDIA MONAI’s Toolkit is a development sandbox offered as part of NVIDIA AI Enterprise. It includes a base container and a curated library of nine pretrained models (including CT, MR, pathology, and endoscopy), available on NVIDIA NGC™, that allow data scientists and clinical researchers to jumpstart AI development.
NVIDIA MONAI microservices enable developers to effortlessly use pre-built, domain-specialized models and AI workflows to build enterprise AI solutions for medical imaging. NVIDIA MONAI’s cloud APIs provide the quickest path to full-stack optimized workflows as a fully managed service. To deploy anywhere, and self-host generative AI applications and data, NVIDIA NIM for accelerated run time on inference models and CUDA-X microservices for NVIDIA-accelerated SDKs and tools, provide the fastest and highest-performing production AI.
With DGX Cloud, medical imaging experts can unlock the full potential of their data and accelerate the development of high-performance AI models that can be deployed to hospital IT systems, medical devices, and any cloud infrastructure.
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