JFrog is releasing a brand new end-to-end resolution for creating and deploying enterprise AI purposes that brings collectively growth groups, knowledge scientists, and machine studying engineers right into a single platform.
JFrog ML gives a holistic view of your complete 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 manner their conventional software program is.
It gives safety scanning for AI fashions, whether or not they had been created in-house or are from a third-party.
Different key options embrace offering a single system of report, reproducible artifacts for all fashions created within the platform, simplified mannequin growth and deployment processes, and dataset administration and have retailer help.
“Because the demand for AI-powered purposes continues to develop quickly, so do the issues across the skill to regulate and handle this new area on all fronts – from MLOps to ML safety. In truth, our personal crew of safety researchers had been the primary to search out and assist remediate new, zero-day malicious ML fashions in Hugging Face,” stated 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 count on from JFrog, permitting clients 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 protected.
In keeping with JFrog, its mannequin scanner goes deeper than different scanners, which has allowed it to remove 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 better peace of thoughts for builders seeking to create the subsequent technology of AI-powered purposes,” stated Julien Chaumond, CTO of Hugging Face.
NVIDIA NIM microservices can be now built-in into JFrog’s platform, which additional permits safe mannequin supply by providing clients enterprise-grade safety, elevated visibility, and governance controls.
“Efficiency and safety are essential for profitable enterprise AI deployments,” stated 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 resolution for constructing, deploying, and managing manufacturing AI brokers at scale.”
