Cnvrg.io, the Intel-owned company that offers a platform to help data scientists build and deploy machine learning applications, has announced the exclusive early release of a new managed service called cnvrg.io Metacloud.
The offering gives AI developers the flexibility to run, test, and deploy AI and machine learning (ML) workloads on a mix of mainstream infrastructure and hardware choices, even within the same AI/ML workflow or pipeline.
Available platform integrations include Intel, AWS, Azure, GCP, Dell, Redhat, VMWare, Seagate and more.
The early release of cnvrg.io Metacloud enables AI developers to have the full flexibility and choice to run any AI architecture for any AI workload on-demand. Together with the cnvrg.io end to end operating system for machine learning, AI developers can manage data, develop, train, and deploy models on any infrastructure instantly.
cnvrg.io Metacloud introduces a new flexible interface for running AI workloads instantly: BYOC (Bring Your Own Computer) and BYOS (Bring your Own Storage) by delivering a developer friendly portal to set-up and launch AI/ML workflows using any hardware or storage service available from a partner menu.
cnvrg.io Metacloud works with any AI infrastructure provider as it is designed by cloud native technologies such as containers and Kubernetes.
The cnvrg.io Metacloud is provided as part of cnvrg.io, a Kubernetes-based full-stack machine learning operating system that includes everything data scientists and developers need to build and deploy AI applications.
Yochay Ettun, CEO and Co-Founder of cnvrg.io, said: “AI has yet to meet its ultimate potential by overcoming all the operational complexities. The future of machine learning is dependent on the ability to deliver models seamlessly using the best infrastructure available”,
“cnvrg.io Metacloud is built to give flexibility and choice to AI developers to enable successful development of AI instead of limiting them, so enterprises can realize the full benefits of machine learning sooner.”
