JFrog ML

JFrog ML (formerly Qwak) is a unified MLOps platform that enables teams to build, deploy, manage, and monitor AI applications from idea to production. It supports a range of AI workflows including generative AI, large language models (LLMs), and classic machine learning. The platform integrates MLOps, LLMOps, and a feature store into a single environment, eliminating the need for multiple tools. Key capabilities include model registry for centralizing model management, one-click training on GPU or CPU machines, scalable deployment as API endpoints, batch inference, or streaming via Kafka, and real-time monitoring with anomaly detection and alerts to Slack or PagerDuty. For LLM development, JFrog ML provides prompt management with version tracking, a model library for deploying optimized open-source LLMs like Llama 3 and Mistral 7b, workflow visualization, and tracing for debugging. The feature store unifies feature engineering and data pipelines, allowing teams to transform and persist data in one location. JFrog ML is designed for collaboration among ML engineers, data scientists, product managers, and AI practitioners.

Key Benefits

• Unified platform for MLOps, LLMOps, and feature store
• One-click model training and deployment
• Real-time monitoring with anomaly detection
• Prompt management and version tracking for LLMs