Software supply chain company JFrog Ltd. today announced a new strategic partnership with Nvidia Corp. to power what the company calls the next era of enterprise artificial intelligence.

Under the partnership, JFrog’s platform will serve as the central software artifact repository and secure model registry within Nvidia’s recently unveiled Enterprise AI Factory. The initiative is designed to help enterprises build, deploy and manage next-generation AI workloads, including agentic and physical AI applications, in a secure and scalable environment.

Nvidia’s Enterprise AI Factory contains an integrated and validated suite of software technology solutions enterprises can use to develop, deploy and manage agentic AI, physical AI and high-performance workloads on-premises. The validated design aims to allow organizations to have full control of their data and operate advanced AI agents in a secure environment.

The integration between JFrog and Nvidia will allow users to gain secure and governed visibility into all software components, including machine learning models and engines. The components can be scanned for vulnerabilities, versioned and tracked across the entire software development lifecycle.

Users will also benefit from end-to-end artifact and model management, with the ability to seamlessly pull, upload and host AI models, datasets and containers. The integration includes full support for Nvidia NIMs and other assets optimized for the Enterprise AI Factory architecture.

The joint solution allows for rapid and trusted provisioning of AI and machine applications in runtime environments. By using JFrog Artifactory, organizations can eliminate the need to access components from external sources, improving both performance and security.

The platform is also designed to support evolving generative AI workloads. Enterprises can easily manage model versioning and upgrade paths as new, approved model generations become available.

The integration includes the ability for the JFrog Platform to run natively on Nvidia’s Grace Blackwell architecture to help reduce latency and process tasks with unparalleled performance, efficiency and scale. Additionally, the integration is expected to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making and real-time data analysis across various industries, including financial services, healthcare, telecommunications, retail, media and manufacturing.

Following an initial rollout with reseller partners, including Dell Technologies Inc., Nvidia’s AI Factory is designed to be incorporated as a full-stack solution within data center server offerings provided by Hewlett Packard Enterprise Co., Super Micro Computer Inc. and specialized GPU cloud providers.

Photo: JFrog