Nvidia H100 now available on DigitalOcean Kubernetes (EA)

We’re thrilled to announce the Early Access launch of GPU-enabled worker nodes for DigitalOcean Kubernetes (DOKS)

We’re thrilled to announce the Early Access launch of GPU-enabled worker nodes for DigitalOcean Kubernetes (DOKS), now featuring NVIDIA’s latest H100 GPUs. This powerful new offering is designed to democratize AI/ML development within Kubernetes environments, making these advanced capabilities accessible to businesses of all sizes.

The Early Access launch offers the choice of 1 x H100 or 8 x H100 nodes.

The challenge of AI/ML in containerized environments

In today’s AI-driven world, organizations are increasingly relying on data to gain actionable insights. However, the complexity and resource demands of AI/ML model development, particularly within containerized environments, pose significant challenges. Many businesses struggle to fully leverage their data due to the high costs and technical barriers associated with AI/ML.

At DigitalOcean, we understand these challenges and are committed to providing solutions that simplify and accelerate innovation. Our GPU-enabled worker nodes for DOKS are designed to remove these barriers, offering a scalable, accessible, and cost-effective solution for businesses eager to harness the power of AI/ML within their Kubernetes clusters.

What you can achieve with GPU-Enabled worker nodes

Our new GPU offering is tailored to meet the demands of modern AI/ML workloads, providing the flexibility and power you need to:

• AI/ML Experimentation and Development: Accelerate your AI/ML experiments and development within containerized environments, enabling faster iteration and innovation.
• Running Distributed AI Workloads: Efficiently distribute and run complex AI workloads across your Kubernetes clusters, helping to ensure optimal performance and resource utilization.
• Scaling AI Inference Services: Seamlessly scale your AI inference services to meet growing demands, helping to ensure your applications are responsive and effective.

Enhanced features: Bringing AI/ML to your Kubernetes clusters

With the integration of NVIDIA’s H100 GPUs, our GPU-enabled worker nodes offer a range of enhanced features to support AI/ML training and inference:

• Kubernetes Integration: Seamlessly add GPU-powered worker nodes to your existing DOKS clusters, allowing you to leverage the full power of Kubernetes for your AI/ML projects.
• Flexible Configurations: Choose from one or eight GPU configurations to match your specific workload needs, helping to ensure you have the right amount of power for every task.
• Scalability: Easily scale your GPU resources within your Kubernetes environment as your AI/ML workloads grow, allowing you to keep pace with your data and business needs.
• Cost-Effectiveness: Our competitive pricing makes AI/ML development more affordable, enabling businesses of all sizes to access the tools they need to succeed in an AI-driven world.

Join the Early Access rogram

We invite you to join our early access program and start exploring the possibilities of GPU-enabled worker nodes on DigitalOcean Kubernetes. Whether you’re looking to enhance your AI/ML capabilities or scale your existing projects, our GPU offering is here to help you achieve your goals.

Stay tuned for more updates as we continue to enhance and expand our services to better meet your needs. In the meantime, explore how DigitalOcean Kubernetes (DOKS) can help you scale workloads, optimize performance with a developer-friendly approach, and automate infrastructure and software delivery.

If you need any assistance migrating from AWS EKS or other Kubernetes solutions, please get in touch with our sales team.