DEVOPSdigest

Voltage Park announced the launch of its managed Kubernetes service.

This fully-managed Kubernetes control plane solution is specifically designed to simplify and accelerate the deployment of containerized AI and machine learning workloads on Voltage Park's high-performance bare metal GPU clusters.

Workloads running on Voltage Park’s high-performance bare metal GPU clusters benefit from a fully managed Kubernetes infrastructure. By offloading the operational overhead—including setup, security, patching, and monitoring—Voltage Park enables customers such as Radical.ai to focus their resources on building, training, and deploying cutting-edge models, rather than managing complex infrastructure.

This launch marks a significant step in Voltage Park's mission to create a seamless AI factory, integrating optimized hardware with intelligent software to provide accessible, high-performance AI infrastructure. This managed Kubernetes offering was developed in direct response to feedback from AI pioneers and ML engineers who require robust, production-ready environments without the steep learning curve or operational overhead of managing Kubernetes themselves.

Saurabh Giri, CPTO at Voltage Park, shares, “Across the spectrum of AI infrastructure I've worked with – from vast, general-purpose clouds to bespoke, specialized systems – the challenge isn't just accessing compute, but unlocking its full potential with agility. The Voltage Park AI factory is our blueprint for this. Our managed Kubernetes service, a key pillar of the Voltage Park AI factory, is engineered to do just that. We streamline the complex orchestration of bare metal GPUs, so that AI teams can focus on rapidly building and deploying their workloads.”

While Voltage Park handles the provisioning, updates, and health monitoring of the Kubernetes control plane, seamlessly integrated with bare metal clusters, AI/ML teams are able to:

- Bypass the complexities of Kubernetes control plane setup, security patching, and ongoing maintenance.

- Dedicate their expertise to developing, training, and deploying cutting-edge models.

- Leverage the full power of Kubernetes for their GPU-accelerated applications without the prerequisite of deep Kubernetes expertise, fostering faster innovation cycles.

To accelerate readiness for AI workloads, Voltage Park's managed Kubernetes includes pre-configured, yet customizable, essential components on worker nodes:

- NVIDIA GPU Operator: Ensures seamless NVIDIA driver management and device plugin operation for optimal GPU utilization.

- Prometheus and Grafana: Provides a robust, out-of-the-box monitoring stack for real-time insights into cluster and application performance.

- SentinelOne: Delivers enhanced security observability and threat detection for containerized environments.

These defaults are fully customizable, allowing teams to tailor the environment to their specific workflow and tooling preferences. It is engineered to empower research institutions, AI startups, and enterprise AI labs working on demanding deep learning, model training, and high-performance computing workloads.

Currently tailored for optimal performance on bare metal GPU clusters, Voltage Park is actively working to extend Managed Kubernetes support to virtual machine environments in future iterations, offering even greater flexibility.