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SAN FRANCISCO, Feb. 24, 2021 /PRNewswire/ -- D2iQ, provider of the leading independent Kubernetes platform built to power smarter Day 2 operations, today announced the general availability of D2iQ Kaptain, the cloud native end-to-end platform for running machine learning (ML) workloads on Kubernetes. D2iQ Kaptain combines all of the open source components required to accelerate the development, training, tuning and deployment of ML models in the enterprise, cutting the time from prototype to production from months to minutes.

With data volumes growing exponentially, machine learning is no longer an option, but a necessity for digitally-driven organizations. However, many enterprises struggle when moving from a prototype on a single machine to a scalable production deployment. According to industry research, 87 percent of all artificial intelligence (AI) projects never make it into production. D2iQ Kaptain provides data scientists with a familiar, notebook-first approach that has been fully tested and integrated with all the shared resources and data access controls required to build and share models. This enables data scientists to manage the lifecycle of their machine learning models without a need for Kubernetes or production infrastructure knowledge.

D2iQ Kaptain is powered by an opinionated subset of Kubeflow, the open source machine learning toolkit for Kubernetes, while also including all of the Day 2 ready features provided by the D2iQ Konvoy Kubernetes distribution and additional production-focused components such as Horovod and Spark. This combination empowers platform operators and data scientists with a robust and enterprise-grade Kubernetes foundation. D2iQ Kaptain dramatically reduces the friction involved in training and deploying ML models in the enterprise, increasing production success rates while speeding time to value.

"Moving ML workflows from prototype to scalable deployment is increasingly complex and challenging, often requiring significant resources and multiple months to reach production environments," said Deepak Goel, CTO, D2iQ. "D2iQ Kaptain uniquely supports both data scientists and developer teams with an enterprise-grade, end-to-end ML solution capable of running Kubernetes anywhere, from on-premises to cloud and air-gapped environments. As pioneers in helping organizations navigate cloud native journeys, D2iQ Kaptain leverages our expertise and suite of Kubernetes solutions built for security, scale, flexibility and speed to ensure successful Day 2 operations"

D2iQ Kaptain delivers significant benefits for data scientists and DevOps teams:

D2iQ Kaptain is available now. For more information on D2iQ Kaptain, visit: https://d2iq.com/products/kaptain

About D2iQ

D2iQ provides the leading independent Kubernetes platform which simplifies and automates the really difficult tasks needed for enterprise-grade production at scale, while reducing operational burden and reducing costs. As a cloud native pioneer, we have more than a decade of experience tackling the most complex, mission-critical deployments in the industry. The D2iQ Kubernetes Platform is a complete solution that includes the technology, expert services, training and support necessary to ensure your success on Day 2 and beyond. Our independence provides us the agility to meet the needs of our customers first, while always keeping TCO top of mind. D2iQ is headquartered in San Francisco and investors include Andreessen Horowitz, Hewlett Packard Enterprise, Khosla Ventures, Koch Disruptive Technologies, Microsoft, and T. Rowe Price Associates, Inc. Find us at https://d2iq.com/

SOURCE D2iQ

https://d2iq.com/

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D2iQ Introduces Cloud Native Platform to Accelerate the Deployment of Machine Learning on Kubernetes - PRNewswire