US EditionAiThority Interview with Yuval Fernbach, JFrog
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3 Articles
AiThority Interview with Yuval Fernbach, JFrog
Yuval Fernbach, VP and CTO of MLOps at JFrog, chats about the latest GenAI innovations that are making waves, tips for optimizing AI and ML workflows, AI deployment best practices, and more in this chat: ———– Hi Yuval – tell us about yourself and your journey as CTO. My journey has always been driven by a deep passion for unlocking the potential of data and machine learning (ML) to shape future products. About a decade ago, I began to observe a…
JFrog launches end-to-end DevSecOps platform for deploying AI applications
JFrog is releasing a new end-to-end solution for developing and deploying enterprise AI applications that brings together development teams, data scientists, and machine learning engineers into a single platform. JFrog ML provides a holistic view of the entire AI software supply chain, from software packages to LLMs, so that companies can ensure their AI applications are secured in the same way their traditional software is. It provides securi…
JFrog Ltd. announces its integration with NVIDIA Inference Microserves (NIM), which is part of the NVIDIA AI Enterprise software platform. The JFrog platform is the only unified, end-to-end and secure DevSecOps and MLOps solution with native NVIDIA NIM integration. This allows a rapid deployment of machine learning (ML) models optimized for pre-approved GPUs and large language models (LLM) in production, with high-level security, enhanced visibi…
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