> Just AI
We provide the tools for your solutions
Zero DevOps + Maximum Efficiency
Clusterone fully automates infrastructure orchestration and reallocates resources seamlessly to maximize efficiency.
Clusterone enables running many concurrent experiments. Training large-scale distributed deep learning models becomes effortless.
Clusterone integrates into any existing technology stack and supports TensorFlow, PyTorch, as well as custom Docker containers.
Reproduce experiments under identical conditions with the click of a button. Verify findings tune hyperparameters with ease.
Essential Tools & Interfaces for Data Scientists
User-friendly web- and command line interfaces, Jupyter notebooks, TensorBoard®, and experiment-sharing are available.
Clusterone can run on any public cloud (AWS, GCP, Azure, etc.), private cloud, or on-premises. Easily switch between solutions without changing any workflows.
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.”
Deep Learning Engineering Manager, Roche
Clusterone supports the technology you’re already using
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: