Devopsbay deployed a Kubernetes cluster for ClusterOne, enabling machine learning tasks to run efficiently on distributed resources. The solution enabled automated infrastructure management and scaling of AI computing.
read moreThe platform automates resource management and task scheduling, allowing you to focus on model development. As their advertising slogan say: “Just run deep learning experiments at scale. Anywhere.”
Cost optimisation with no loss of efficiency and appropriate scaling as required.
KubernetesThe infrastructure foundation, enabling container orchestration and management of a distributed computing environment. Used to deploy and manage containerised applications, ensuring scalability and reliability of platform services.
AnsibleAn automation tool used to prepare and configure servers and install a Kubernetes cluster.
CepthA distributed storage system that provides scalable and efficient storage space for a cluster.
DockerA containerization technology used to package and isolate applications and their dependencies.
MetalLBLoad balancer solution for Kubernetes clusters running on physical infrastructure.
Prometheus and GrafanaTools for monitoring and visualising cluster and application metrics.
A Kubernetes cluster was successfully deployed to efficiently run machine learning tasks on distributed computing resources. This has provided a flexible environment for advanced AI research.
The solution enabled automated resource management and scaling of AI computing. Machine provisioning and job scheduling were automated, enabling optimal use of the available infrastructure.
Full visibility of computational processes was provided through integration with monitoring and logging systems, which facilitated the debugging of complex models.
The platform automates the management of computing resources, allowing users to focus on developing AI models without having to deal with the technical details of the infrastructure.
Through the work of DevOpsBay, Clusterone became one of the first ML platforms built on Kubernetes, giving us a competitive advantage in the market.
the implemented solution has enabled us to run machine learning tasks efficiently on distributed resources, with the ability to scale easily.
The team implemented automated resource management and task scheduling, which greatly simplified the platform.
Devopsbay provided a seamless Kubernetes solution that optimized our AI workload management. Their automation and scaling capabilities let us focus on AI development without worrying about infrastructure. The system is flexible, scalable, and has given us a competitive edge. We're very satisfied with the outcome.
CEO, Clusterone
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ClusterOne needed an efficient solution to run machine learning tasks on distributed resources. We implemented a Kubernetes cluster, automating infrastructure management and scaling AI computing. Using technologies like Ansible and Ceph, we created a flexible environment for advanced AI research. The client gained one of the first ML platforms based on Kubernetes.
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