As AI becomes mainstream across enterprises, the challenge is no longer just building AI—it's building it responsibly, securely, and at scale. In this video, Gal Marder, Chief Strategy Officer at JFrog (https://go.aws/498tDYI), reveals how JFrog, a pioneer in software supply chain management, has partnered with NVIDIA (https://go.aws/4oPPFoI) and Amazon Web Services (AWS) (aws.amazon.com) to address the three biggest obstacles holding AI projects back from production: security, governance, and cost control.

While NVIDIA provides optimized AI models through NVIDIA NIMs microservices and AWS delivers the runtime infrastructure, JFrog serves as the essential control fabric that enterprises need to manage the entire AI lifecycle.
This three-part integration creates a system of record for responsible AI. Enterprises gain unified management of both traditional software and AI artifacts, apply consistent security policies across everything, and move from experimentation to production faster than ever before.
Listen to the short video to discover how this partnership is transforming enterprise AI from a high-risk venture into a governed, secure, and scalable reality.

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