JFrog Ltd. has announced the integration of its DevSecOps tools with the NVIDIA Enterprise AI Factory validated design. This integration positions JFrog as the cornerstone software artifact repository and secure model registry for NVIDIA's agentic AI architecture. The collaboration aims to accelerate the delivery of AI-powered applications using the NVIDIA Blackwell platform, building upon a previous NVIDIA NIM integration with the JFrog Platform to create a full-spectrum MLOps solution.

Shlomi Ben Haim, CEO and co-founder of JFrog, emphasized the importance of trust, control, and seamless execution in the future of AI. He stated that enterprises need developer-friendly workflows, strong security, robust governance, and full lifecycle management to deliver AI at scale. Ben Haim highlighted that ML models are binaries and should be managed as first-class software artifacts, which is why JFrog is partnering with NVIDIA to provide a single source of truth for all software and AI assets within the NVIDIA Enterprise AI Factory.

The JFrog Platform will provide a “single source of truth” for software components within the NVIDIA Enterprise AI Factory. This factory includes an integrated suite of software technology solutions for enterprises to develop, deploy, and manage agentic AI, physical AI, and HPC workloads on-premises. The validated design is intended to give organizations full control of their data and enable them to operate advanced AI agents in a secure environment. Key capabilities of the integrated platform include:

• Secure & Governed Software Component Visibility: Scanning ML models, engines, and software artifacts for security issues, versioning, governing, and ensuring traceability across the software development lifecycle.
• End-to-End Software Artifact & ML Model Management: Facilitating the seamless pulling, uploading, and hosting of AI models and datasets, AI containers, Docker containers, and dependencies optimized for the NVIDIA Enterprise AI Factory validated design.
• Rapid, Trusted AI/ML Application Provisioning in Runtime: Simplifying the configuration of AI environments by eliminating the need to pull components from outside the organization, leveraging the universality, scalability, and robustness of JFrog Artifactory.
• Future-proofed for Evolving GenAI Applications: Managing ML model versioning and upgrades to new and approved model generations.

Justin Boitano, Vice President, Enterprise AI Software Products at NVIDIA, noted that enterprises building AI factories need to manage the complexity of AI adoption while ensuring performance, governance, and trust. He believes that JFrog’s unified software supply chain platform, combined with the NVIDIA Enterprise AI Factory validated design, enables rapid and responsible AI innovation at scale.

The integration is designed to allow the JFrog Platform to run natively on NVIDIA Blackwell systems, reducing latency and enhancing performance, efficiency, and scale. It supports various AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis across sectors such as financial services, healthcare, telecommunications, retail, media, and manufacturing. The system also utilizes NVIDIA’s engineering expertise and partner ecosystem to help enterprises accelerate time-to-value and mitigate AI deployment risks.

Those interested can find more information about JFrog and NVIDIA integrations and NVIDIA NIM trials at https://jfrog.com/jfrog-and-nvidia/.

JFrog Ltd. (Nasdaq: FROG) aims to power the world with liquid software by replacing endless software updates with a system that delivers secure applications from developer to device. The JFrog Software Supply Chain Platform helps organizations build, manage, and distribute software securely, making applications available, traceable, and tamper-proof. The platform integrates security features to identify, protect, and remediate threats and vulnerabilities, aligning ML models with software development processes. JFrog’s platform is available as both self-hosted and SaaS services across major cloud service providers.