Data sciencE that delivers

Turn your AI/ML projects into real use cases

Automate, optimize, and scale your Machine Learning processes with DKube. Build and deploy AI models into production faster, monitor and train them in real-time, with DKube.

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HOW DKUBE CAN HELP YOU

Bring AI to where your data is

Data security is paramount today, and we understand this priority. DKube is a unique MLOps solution that can operate on-premise and on any cloud or multi-cloud. Bring your open-source AI tool sets to where your data is.

Monitor and manage the entire development lifecycle

Over 90% of ML models today do not become usable in the real world. Take your ML models into production and continuously track their performance over time with DKube.

Work with the tool sets you already use

DKube built on open source foundations of Kubeflow and MLflow. It supports every open-source toolset your teams currently use and will continue to stay open-source forever.

Control processes better with an open-source-based MLOps platform

Bring the efficiency of DevOps to your AI/ML projects at a fraction of the cost of investing in proprietary tools. Gain full control over your project lifecycle with a purpose-built platform.

Customize the DKube solution for evolving needs

Most open-source MLOps solutions, if assembled and supported in-house, can get expensive to host and maintain over time. This is precisely why we’ve built the DKube Lite and DKube Enterprise.

Get all your teams on the
same page

Data Engineers, Data Scientists, IT Teams, and Business Executives love DKube! We’ve built features that support every relevant role and function within your organization.

BENEFITS

DKube is built to be used by everyone on the team

DKube is how data engineers, data scientists, production teams, and business leaders communicate. Packed with a ton of features, DKube allows you to set the right business goals, monitor progress, and build and deploy AI models.

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Data Engineers

With automated model deployment, streamlined data, and ML pipelines, let DKube streamline your data engineering workflow.

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Production Teams

When the rubber hits the road, we’re ready for you! DKube supports seamless collaboration between teams and helps you successfully take ML models into production, monitor their journey, and report.

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Data Scientists

Set the direction for how your work is taken into production, and collaborate with every team that contributes to your workflow. DKube works with every toolset that you currently use.

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IT Managers

We help you get the fundamentals absolutely perfect. Optimize the cost of hardware by laying a strong foundation for the tools and technology that will eventually be used by your AI teams.

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Business Leaders

Enhance the productivity of AI/ML teams and projects, monitor progress through business dashboards, and build a compelling use case for using AI for your business.

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Strategy

The most revolutionary AI model may be stuck on a shelf right now

According to the McKinsey State of AI 2021 report, 7 in 10 ML models never become business use-cases. Moving from research to production can be daunting- continuous training, serving and monitoring is the need of the hour.
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For that to happen, you need truly collaborative teams. We’ve built DKube to help you achieve just that.

With a purpose-built tool that helps manage the entire MLOps lifecycle, you can achieve

10X

Reduction in production time

45%

Reduction in costs

38%

Better production outcomes

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Blog

The Extraordinary AI Resource Center

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News and Events

Webinar: Utilize the compute resources of your HPC cluster for AI/ML workloads while maintaining collaboration and compliance across teams

Understand how to integrate your vSphere-based HPC/Slurm cluster seamlessly with the DKube MLOps platform based on the best Kubeflow/MLFlow innovations.

News and Events

Kubeflow based MLOps platform comes to Nutanix On-Prem and Hybrid Cloud with DKube™, from One Convergence™ Inc.

The next generation of enterprise applications will increasingly be AI/ML models applied to accelerate existing processes or solve new problems such as accelerating drug discovery and development in life sciences. Kubeflow is an open source reference architecture for AI/ML platform initiated by Google and contributed by several IT platform infrastructure leaders in the industry such as IBM, Redhat, Cisco, Dell, AWS for on-prem and hybrid deployment of AI/ML.

Blogs

An Efficient Scale-Out Deep Learning Cloud – Your Way

The Duchess of Windsor famously said that you could not be too rich or too thin. And whether or not that is correct, a similar observation is definitely true when trying to match deep learning applications and compute resources: you cannot have enough horsepower.