Collaboration offers a validated DevSecOps and MLOps solution for deploying AI applications securely, at scale, and efficiently.
At COMPUTEX 2025, JFrog Ltd (Nasdaq: FROG), a company specializing in software supply chain solutions, announced the integration of its platform with the validated architecture of NVIDIA Enterprise AI Factory. This move strengthens the strategy of both companies to accelerate the development, security, and production deployment of AI-based applications, with a particular focus on agent architectures.
Following JFrog’s previous integration with NVIDIA NIM, this new alliance establishes JFrog’s platform as the software artifact repository and secure model registry for the enterprise AI ecosystem that NVIDIA is deploying on its Blackwell platform.
Shlomi Ben Haim, CEO and co-founder of JFrog, emphasized that “the future of AI relies not only on innovation but also on trust, control, and smooth execution. Machine learning models are binary and must be managed as first-class software artifacts.” Under this premise, JFrog aims to become the single source of truth for all software and AI assets used in enterprise environments.
A validated design for secure and scalable AI
The validated architecture of the NVIDIA Enterprise AI Factory includes a combination of integrated technological solutions that enable organizations to develop, deploy, and operate intelligent agents and AI workflows in physical or HPC environments within their own ecosystems. The integration with JFrog provides critical capabilities to ensure security, traceability, and governance throughout the software lifecycle.
Highlighted features include:
- Secure and governed visibility of all ML models and software artifacts, with automated security scans, version control, and complete traceability.
- Comprehensive management of models and artifacts, including Docker containers, AI datasets, and dependencies for NVIDIA environments.
- Agile and reliable provisioning of AI applications at runtime, avoiding external dependencies thanks to JFrog Artifactory.
- Compatibility with future generations of GenAI, through efficient management of versions and model updates.
Justin Boitano, vice president of enterprise AI software products at NVIDIA, highlighted that “companies building AI factories need to manage complexity without sacrificing performance or security. The combination of JFrog’s software supply chain platform with NVIDIA’s validated design enables responsible and agile innovation at scale.”
AI for all sectors
The joint solution is designed to run natively on NVIDIA Blackwell systems, allowing latency reduction and improved operational performance across multiple sectors, including financial services, healthcare, telecommunications, retail, media, and manufacturing. It also leverages NVIDIA’s partner ecosystem to accelerate enterprise AI adoption with reliable and adaptable infrastructure.
JFrog has also enabled support for real-time inference operations, autonomous decision-making, and agent-based AI workflows, reinforcing its vision that software, whether traditional or AI-based, should be managed with the same standards of security, control, and efficiency.
A unified platform for secure AI development
With this integration, JFrog solidifies its role as a central pillar for managing software artifacts and AI models in demanding enterprise environments. Its platform supports DevOps, MLOps, and DevSecOps, allowing development and engineering teams to build and launch applications securely, traceably, and seamlessly from development to production.
The collaboration with NVIDIA strengthens JFrog’s role as a provider of critical infrastructure for innovation in artificial intelligence. Both companies share the vision that AI, to be truly useful, must be built on strong foundations of trust, interoperability, and control.