D2iQ, provider of the leading independent
Kubernetes platform built to power smarter Day 2 operations, 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:
- Machine Learning on any Infrastructure:
D2iQ Kaptain can be deployed in any environment that ML initiatives take
place including on-premise, air-gapped networks, on the public cloud, or
in a hybrid or multi-cloud environment.
- Enterprise security and multi-tenancy:
D2iQ Kaptain's end-to-end secure enterprise-grade ML platform is
integrated with Konvoy's multi-tenancy, authentication, and identity
services, allowing DevOps teams to run entire ML pipelines securely and
efficiently.
- Deliver Models to Production with Speed
and Agility: D2iQ Kaptain breaks down operational barriers for data
scientists to seamlessly move models from prototype to production,
ultimately improving project success rates and speeding time to
implementation.
- Expert Support: D2iQ Kaptain offers
expert support options with on-demand coverage to ensure that every
machine learning initiative has advanced support and rapid response times.
D2iQ Kaptain is available
now. For more information on D2iQ Kaptain, visit:
https://d2iq.com/products/kaptain