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Open Compute ​

Unify and utilize all your cloud and on premise compute resources for machine learning in one place

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Open Compute - MLOps Platform

Connect any compute resource

  • Expand your compute resources with no need to vendor-lock
  • Dynamically connect any compute resources you have available
  • Scale ML across any resource, from AWS, GCP, Azure, or with your own on-premise comput
Compute Resource Management
Compute Resource Management

Advanced resource management and MLOps

  • Manage multiple compute resources and user permissions in one place
  • Prioritize jobs with advanced queuing capabilities, and monitor use of resources
  • Give engineers control over environment dependencies with custom Docker images
  • Allow data scientists autonomy to research, develop and deploy in controlled environment
Compute Resource Management

Native support to existing resource management tools in your IT ecosystem

  • Easily integrate to your existing solutions with fully container-based machine learning 
  • Connect multiple Kubernetes clusters to cnvrg.io with native Kubernetes support
  • Built in support to Spark, Hadoop and big-data clusters as resource managers as well
  • Fully extensible for flexible connection to other resource management tools
Compute Resource Management
cnvrg- Data Science Platform
cnvrg.io - ML Platform

AI:OS for Machine Learning

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Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

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With cnvrg.io we were able to increase our model throughput by up to 50% and on average by 30% when comparing to RESTful APIs. cnvrg.io also allows us to monitor our models in production, set alerts and retrain with high-level automation ML pipelines
Avi Gabay
Avi GabayDirector of Architecture at Playtika
As with many data science professionals, our team is hard to please. They want the flexibility to use any language, and the ability to write their own custom packages to improve performance, set configurations, etc. With cnvrg.io, this is the first time I’ve heard our data scientists and analysts say ‘when can we have it’.
Alexander Ryabov
Alexander RyabovHead of Data Services & Business Intelligence at Wargaming.net
Working in a hybrid cloud environment has major advantages but can be increasingly complex to manage, especially for AI workloads. cnvrg.io has the potential to enable us to operate in a hybrid cloud environment seamlessly. The new ML infrastructure dashboard could fill a major need in connecting our infrastructure to ML projects. It provides visibility into our on-prem GPU clusters and cloud resources, paving the way for increasing the utilization and ROI of our GPUs.
Bruce King
Bruce KingData Science Technologist at Seagate Technology Advanced Analytics Group
Lightricks is a research-driven company, which is why we’ve built a team with some of the top computer vision researchers in the country. cnvrg.io ensures our highly qualified researchers are focused on building the industry-leading AI technology that we are now world renown for, instead of spending time on engineering, configuration and DevOps.
Ofir Bibi
Ofir BibiHead of Research at Lightricks
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