Get push button AI/ML Kubernetes infrastructure
Data scientists have plenty on their plate without also having to become Kubernetes and infrastructure experts. Spectro Cloud makes provisioning and management of Kubernetes clusters and infrastructure and common AI tools easy.
As enterprises transform and modernize their technology, data and data science teams are key to many of these transformations. Kubernetes oftentimes underpins data science deployments. However, Kubernetes itself takes significant effort to make production ready; as an operator, you have to deal with continuous security, Kubernetes upgrade lifecycle, integrations with existing infrastructure services, as well as operating an end-to-end solution.
These challenges are difficult as-is with a single cluster, but multiply when managing multiple Kubernetes clusters. Solutions that help enable successful AI/ML workload deployments and management will be key to making the most out of data available to the enterprise.
AI/ ML optimized cluster infrastructure
Spectro Cloud brings the ease of a managed services approach to the deployment and management of an organization’s unique Kubernetes infrastructure stacks. These custom stacks can include GPU drivers and operating systems you require for your workload. Focus on data science, not infrastructure.
AI/ML tools on Kubernetes
The world of AI/ML is hustling and bustling. With a wealth of tools for every phase, having access to the specific tools that your team utilizes is a must. From secrets and volume management for your Jupyter notebooks to KubeFlow configurations, many organizations conclude that they want to offload these infrastructure focused concerns, and many data science groups conclude they should offload infrastructure concerns to focus on data science.
With multiple projects underway and models to build, test, and deploy, providing self-service access to clusters and ready-to-go data science platform services is a key enabler for your teams. Platform services can be configured with easy to use defaults, giving teams running starts. Give your data science teams low friction access to exactly what they need.
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