Leaders in industry and academia trust us.
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.
Universal Machine Learning Workflow
Clusterone provides a complete and harmonious machine learning user experience by integrating into your existing technology stack and supporting any machine learning workload.
User-friendly web and command line interfaces, Jupyter notebooks, TensorBoard, collaboration, and productivity features enable maximum return on investment on research projects.
Flexible
Integration into your existing technology and support of most distributed or single node ML jobs including custom docker containers.
Instantly Reproducible
Reproduce experiments under identical conditions with the click of a button. Collaborate effectively with large teams.
Model Serving Coming soon
Serve models on Clusterone or on third-party services in seconds, using our CLI, API, or dashboard.
Hyperparameter Tuning Coming soon
Run any number of concurrent jobs and automated hyperparameter tuner for a wide range of machine learning problems.
Enterprise-Grade Technology
Clusterone is built for enterprise scale. Bringing the state-of-the-art machine learning software and hardware including optimized distributed storage, NVIDIA GPU Cloud containers, Intel Optimized Frameworks, GPU-affinity-aware scheduling together to provide not only a smooth user experience but also a robust scalable enterprise-grade solution. Download Clusterone whitepaper to learn more.
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Zero DevOps
Clusterone fully automates infrastructure orchestration and management on cloud VPC or on-premise.
Scalable
Run any number of concurrent jobs. Seamlessly scale up to large-scale models and datasets using distributed nodes.
Infrastructure-Agnostic
Run on public cloud VPC (AWS, GCP, Azure), on-premise or hybrid. No lock-in with native Kubernetes template jobs.
Lowest Infrastructure Cost
Up to 5x less infrastructure cost by using the most optimized binaries, spot instance, and avoiding runaway instances.
Cluster Monitoring
Advanced Cluster monitoring for system administrators. GPU, CPU, memory, network, storage for the cluster or per user or job.
Adiabatic Alpha
Turn every available compute cycle on your cluster into value using advanced scheduling and queuing and background crypto miner.
Get Clusterone Enterprise Edition,
on your VPC or on-premise cluster.
With unlimited cluster size, jobs, storage, users, and artifacts. Includes 24/7 support and automated updates.
$149
per user per month billed yearly
Unlimited Concurrent VMs
Unlimited Jobs, Projects, Artifacts
24/7 support
Academic License?
Deploy Clusterone for free on your academic on-premise cluster or cloud VPC.
Deploy on your Cloud VPC
Deploy Clusterone on your Cloud VPC within an hour. Clusterone does not depend on any cloud-specific tool, enabling simple transition between clouds or on-premise.
Autoscaling
Clusterone automatically scales cluster size based on job load, user quota, and admin policies.
Spot Instances
Significantly reduce cloud cost by using spot instances, Clusterone automatically manages failovers.
Deploy on-premise
Get all the benefits of Clusterone on your own hardware. Get Clusterone on a stand-alone server or multi-node cluster through one of our on-premise partners.
Container Native
Clusterone is container native, depending only on docker, NVIDIA-docker, Kubernetes and helm charts.
GPU Affinity
Maximize cluster utilization and job performance and avoid starvation with the topology-aware GPU affinity.
Professional Services
We help customers and partners build advanced solutions based on machine learning.
Research and Development
DevOps and Automation
Education and Strategy
