Deploying adaptive AI in distributed water plants - Barbara Accoina

Run AI, Comet collaborate on experiment management and orchestration capabilities for ML projects

Run AI, Comet collaborate on experiment management and orchestration capabilities for ML projects

Run AI, an AI resource management solutions provider, has partnered with Comet, a provider of MLOps platform for machine learning. The partnership aims to streamline machine learning projects for data scientists, researchers and IT teams. Enterprise customers can also use this integrated edge solution to gain strategic business insights.

Under this collaboration, Comet’s experiment management and model production monitoring solution will integrate with Run AI’s orchestration capabilities. Both companies leverage each other’s strengths to support researchers throughout the machine learning lifecycle. Through early experiments to the production stage, customers can gain a wealth of knowledge about their ML initiatives. Users can also operationalize cloud-native shared GPU clusters with the Run AI platform.

“We are thrilled to be working with Comet to help ML practitioners accomplish more, faster and at a greater scale than ever before,” said Omri Geller, CEO and co-founder of Run AI. “Together, we will empower practitioners throughout the entire ML lifecycle with intelligent tools that make their work simpler and more efficient.”

By partnering with technology innovators, Comet is furthering its mission of developing an expansive ecosystem and interoperability. Gartner recently recognized the company as a Cool Vendor because of its AI solution that addresses the common issues experienced during ML projects. Specifically, the solution allows clients and researchers to collaborate, share their work and build accurate and speedy machine-learning models.

Comet, which is used by firms that include Etsy, Uber and Zappo, offers a combination of experimental tracking and model production monitoring solutions. Its platform can operate on cloud, on-premise and virtual private cloud infrastructure. New customers can leverage this integration of monitoring and orchestration capabilities to optimize machine learning projects.

“Many of our customers rely on Run AI and this integration enables teams to glean even more value from our respective solutions,” said Gideon Mendels, CEO and co-founder of Comet. “Comet is fully committed to working with companies across the ML ecosystem to hasten the maturation and adoption of ML.”

In November, Run AI deepened its collaboration with Nvidia by launching an MLOps Compute Platform based on their DGX systems. They designed this platform to help companies bypass the frequent issues when deploying Artificial Intelligence models.

Article Topics

 |   |   |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Machine learning at the Edge

“Barbara

Latest News