JFrog is releasing a brand new end-to-end answer for growing and deploying enterprise AI purposes that brings collectively improvement groups, knowledge scientists, and machine studying engineers right into a single platform.
JFrog ML offers a holistic view of all the AI software program provide chain, from software program packages to LLMs, in order that corporations can guarantee their AI purposes are secured in the identical method their conventional software program is.
It offers safety scanning for AI fashions, whether or not they have been created in-house or are from a third-party.
Different key options embody offering a single system of report, reproducible artifacts for all fashions created within the platform, simplified mannequin improvement and deployment processes, and dataset administration and have retailer assist.
“Because the demand for AI-powered purposes continues to develop quickly, so do the issues across the potential to regulate and handle this new area on all fronts – from MLOps to ML safety. Actually, our personal crew of safety researchers have been the primary to search out and assist remediate new, zero-day malicious ML fashions in Hugging Face,” mentioned Alon Lev, VP and GM of MLOps at JFrog. “JFrog ML combines superior, simple and hassle-free consumer expertise for bringing fashions to manufacturing, mixed with the extent of belief and provenance enterprises anticipate from JFrog, permitting prospects to speed up their AI initiatives with confidence.”
JFrog companions with Hugging Face, NVIDIA
The corporate additionally introduced new partnerships with Hugging Face and NVIDIA. As a part of the Hugging Face partnership, fashions in Hugging Face will now be scanned by JFrog and can show a “JFrog Licensed” checkmark if they’re deemed secure.
In line with JFrog, its mannequin scanner goes deeper than different scanners, which has allowed it to eradicate 96% of false positives produced by different scanners on Hugging Face fashions and to establish malicious fashions not flagged by different scanners.
“Because the main collaboration platform for AI fashions, we’re delighted to deepen our partnership with JFrog to implement high-quality scanning capabilities for our AI/ML fashions and ship larger peace of thoughts for builders trying to create the following technology of AI-powered purposes,” mentioned Julien Chaumond, CTO of Hugging Face.
NVIDIA NIM microservices can also be now built-in into JFrog’s platform, which additional allows safe mannequin supply by providing prospects enterprise-grade safety, elevated visibility, and governance controls.
“Efficiency and safety are essential for profitable enterprise AI deployments,” mentioned Pat Lee, vp of Enterprise Strategic Partnerships at NVIDIA. “With NVIDIA NIM built-in straight into the JFrog Platform, builders can speed up AI adoption with a unified, end-to-end answer for constructing, deploying, and managing manufacturing AI brokers at scale.”
