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We provide the tools for your solutions

Execute Complex ML Project

Zero DevOps + Maximum Efficiency

Clusterone fully automates infrastructure orchestration and reallocates resources seamlessly to maximize efficiency.

Scalability

Clusterone enables running many concurrent experiments. Training large-scale distributed deep learning models becomes effortless.

Execute Complex ML Project
Execute Complex ML Project

Full Flexibility

Clusterone integrates into any existing technology stack and supports TensorFlow, PyTorch, as well as custom Docker containers.

Instant Reproducibility

Reproduce experiments under identical conditions with the click of a button. Verify findings tune hyperparameters with ease.

Execute Complex ML Project
Execute Complex ML Project

Essential Tools & Interfaces for Data Scientists

User-friendly web- and command line interfaces, Jupyter notebooks, TensorBoard®, and experiment-sharing are available.

Infrastructure-Agnostic

Clusterone can run on any public cloud (AWS, GCP, Azure, etc.), private cloud, or on-premises. Easily switch between solutions without changing any workflows.

Execute Complex ML Project
Execute Complex ML Project

Lower Infrastructure Cost

Clusterone optimizes resource utilization and enables lower computing costs through its innovative cluster management technology.

“Our deep learning cloud infrastructure for next generation sequencing (NGS) base calling is powered by Clusterone, which allows us to effortlessly orchestrate, manage, and monitor large-scale, distributed training procedures on the cloud. Instance provisioning is transparent and automatic, thereby saving us valuable time otherwise spent managing cloud infrastructure.”


Kyle Chipman, Roche

Kyle Chipman

Deep Learning Engineering Manager, Roche

Roche

Clusterone supports the technology you’re already using

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Applied AI expertise to kickstart your project

Add more muscle to your research and data science team with our world-class machine learning engineers. Clusterone Applied AI provides professional services to develop customer solutions design, as well as state-of-the-art research.

85% of the team has PhDs spanning:

Computer Science, Astrophysics, Robotics, Bio-physics, Nuclear Engineering.

100% of the team has experience with:

large-scale industry projects in ML/DL, with technical experience and training from:

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You are passionate about solutions. We make it easy to build them.

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