A new press release reports, “ today announced it is introducing a to all users of the (GCP ). The new offering will provide customers with Seldon Core, an open-source platform that makes it easier and faster to deploy machine learning models and experiments at scale. For the first time ever, commercial Kubernetes applications are available to deploy with one click to Google Kubernetes Engine with a usage-based pricing model. Commercial Kubernetes applications can be deployed on-premise or even on other public clouds through the GCP . GCP is based on a multi-cloud and hybrid-first philosophy, focused on giving Google Cloud partners and enterprise customers flexibility without lock-in. It also helps customers innovate by easily adopting new technologies from ISV partners, such as commercial Kubernetes applications, and allows companies to oversee the full lifecycle of a solution, from discovery through management.”

The release continues, “Seldon Core uses containers and microservices to serve models built in any open-source or commercial model building framework. It leverages powerful Kubernetes features like custom resource definitions to define and manage model graphs, which can contain one or more models as well as A/B Tests, ensembles and feature transformations. Seldon Core is also a model serving component in Kubeflow, a new open-source project from Google Cloud in collaboration some of the world’s biggest technology companies. ‘Google Cloud is building a strong ecosystem around machine learning and serverless technologies. Their approach to partnership and collaboration with startups in the AI and DevOps space will serve to grow the industry as a whole,’ said Alex Housley, CEO of Seldon. ‘We’re thrilled to be a launch partner for the GCP Marketplace, which provides a compelling new distribution channel for both our open-source platform and future commercial products’.”

Read more at Seldon.

Photo credit: Seldon



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