JFrog Brings Artifact Management And Software Supply Chain To NVIDIA NIM

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JFrog Brings Artifact Management And Software Supply Chain To NVIDIA NIM

JFrog has announced a strategic partnership with NVIDIA to improve AI model deployment and security. This collaboration follows JFrog's acquisition of Qwak AI, enhancing its machine learning capabilities. The integration focuses on NVIDIA NIM microservices within the JFrog Platform, aiming to streamline the software supply chain for generative AI solutions.

The partnership allows for the deployment of GPU-optimized AI models, addressing challenges in scaling machine learning in enterprise environments. By combining JFrog's DevSecOps processes with NVIDIA's infrastructure, organizations can ensure secure and efficient AI model management. This collaboration is timely as businesses increasingly adopt AI technologies.

• JFrog and NVIDIA integrate to streamline AI model deployment.

• Partnership enhances security and efficiency in AI model management.

Key AI Terms Mentioned in this Article

DevSecOps

This approach is crucial for ensuring security throughout the software development lifecycle, particularly in AI model deployment.

MLOps

MLOps is essential for managing the lifecycle of machine learning models, as highlighted by JFrog's integration of Qwak AI.

GPU-optimized AI models

The partnership focuses on deploying these models efficiently within enterprise environments.

Companies Mentioned in this Article

JFrog

JFrog's partnership with NVIDIA enhances its capabilities in AI model deployment and security.

NVIDIA

NVIDIA's NIM microservices are integrated into JFrog's platform to optimize AI model services.

Qwak AI

JFrog's acquisition of Qwak AI strengthens its platform for managing AI models.

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