Train & deploy any model with a fully managed MLOps solution
Accelerate AI pipelines and get to production, fast. JFrog ML lets you build, deploy, manage, and monitor any AI or ML models with ease.
JFrog ML streamlines AI development from prototype to production, freeing you from infrastructure concerns so you can focus on what matters.
Model Registry
Take your models from research to production with an advanced, centralized, and production ready model registry. JFrog ML brings all the advantages of JFrog Artifactory to your MLOps lifecycle.
Manage the entire model lifecycle with a single centralized registry- Gain visibility into training parameters, hyper parameter tuning and model metadata
- Manage model and traditional software artifacts in one system
- Bring DevOps and MLOps together one one source of truth
Model Training
Easily train and fine-tune AI/ML models, from linear regression to advanced deep learning and LLMs, with a single click.
- Trained models are saved in the model registry for a smooth transition from training to production
- Train models on GPU or CPU machines to handle any workload
- Retrain models periodically with easy-to-set-up automations
Model Serving
Deploy AI/ML models to production at any scale in one click.
- Serve models as API endpoints for any realtime machine learning use cases
- Execute batch inference on any dataset from various data sources
- A/B test models to compare real-world performance
Model Monitoring
Monitor model performance and detect data anomalies in real time.
- monitor model accuracy over time and adapt parameters as needed
- Continually improve prediction quality and maintain system reliability
- Integrate with monitoring and alerting tools such as PagerDuty and Slack to track the health and performance of models in real time
Over 7,500 DevOps Teams Trust JFrog
Serving over 80% of the Fortune 100
Cars.com
FFF Enterprises
Workiva
Deloitte
Spot
Mercedes
Monster
Redbox
Yunex Traffic
"We wanted to figure out what can we really use instead of having five, or six different applications. Is there anything we can use as a single solution? And Artifactory came to the rescue. It turned out to be a one-stop shop for us. It provided everything that we need."
"By deploying JFrog, we’ve seen less vulnerabilities, which has given our developers more time to focus on developing new applications. And with the different development teams all being on the same platform, it has centralized and streamlined the process."
"Since moving to Artifactory, our team has been able to cut down our maintenance burden significantly…we’re able to move on and be a more in depth DevOps organization."
"Since moving to Artifactory, our team has been able to cut down our maintenance burden significantly…we’re able to move on and be a more in depth DevOps organization."
"Before… delivering a new AI model took weeks... Now the research team can work independently and deliver while keeping the engineering and product teams happy. We had 5 new models running in production within 4 weeks."
“Most large companies have multiple sites and it is critical for those companies to manage authentication and permission efficiently across locations. JFrog Enterprise+ will provide us with an ideal setup that will allow us to meet our rigorous requirements from the get go. It's advanced capabilities, like Access Federation, will reduce our overhead by keeping the users, permissions, and and groups in-sync between sites.”
"Instead of a 15-month cycle, today we can release virtually on request.”
“As a long-time DevOps engineer, I know how difficult it can be to keep track of the myriad of package types – legacy and new – that corporations have in their inventory. JFrog has always done a phenomenal job at keeping our team supported, efficient and operational – because if JFrog goes out, we might as well go home. Thankfully, with AWS infrastructure at our backs as well, we know we can develop and deliver with confidence anywhere our business demands today, and in the future.”
“When we had that issue with log4j, it was announced on Friday afternoon and [using JFrog] by Monday at noon we had all cities rolled out with the patch.”
Multi-Cloud: Our Cloud or Yours
JFrog ML offers native support for AWS and GCP, allowing you to deploy either on our platform or your own infrastructure for a streamlined flow.
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