Linux / amd64
NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed to speed up generative AI deployment in enterprises. Supporting a wide range of AI models, including NVIDIA AI foundation and custom models, it ensures seamless, scalable AI inferencing, on-premises or in the cloud, leveraging industry standard APIs.
Each NIM consists of a container and a model and uses a CUDA-accelerated runtime for all NVIDIA GPUs, with special optimizations available for many configurations. Whether on-premises or in the cloud, NIM is the fastest way to achieve accelerated generative AI inference at scale.
The Cosmos-Predict1-7B-Text2World NIM simplifies the deployment of the NVIDIA Cosmos-Predict1-7B-Text2World diffusion model, which uses text input to generate high quality, physics-aware videos for physical AI development.
Deploying and integrating NVIDIA NIM is straightforward thanks to our industry standard APIs. Visit the NIM Documentation for general information about using NIM, including an overview and deployment guides. Refer to the Cosmos NIM Documentation for more information about the Cosmos NIM, including a quickstart guide and API reference.
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For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
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Visit the NIM Documentation for general information about using NIM, including an overview and deployment guides. Refer to the Cosmos NIM Documentation for more information about the Cosmos NIM, including a quickstart guide and API reference.
The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products; and the use of this model is governed by the NVIDIA Open Model License.
You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.