Orchestration with Managed Kubernetes

With all resources managed by a single orchestration layer, our clients take full advantage of increased portability, less overhead, and less management complexity compared to traditional VM-based deployments.
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Start, run, and scale Kubernetes

Automatically manage the availability and scalability of the Kubernetes nodes responsible for scheduling containers, managing application availability, storing cluster data, and other key tasks. With Managed Kubernetes, you can take advantage of all the performance, scale, reliability, and availability of our infrastructure, as well as integrations with networking and security services

Blazing fast spin-up times. Responsive auto-scaling.

Thanks to container image caching and specialized schedulers, your workload can be up and running in as little as 5 seconds.

Scale into the compute you need, elastically

Access a massive amount of resources in the same cluster, instantly. Simply request the CPU cores and RAM you need, with an optional amount of GPUs

Fully managed Kubernetes, single control plane

We handle all of the control-plane infrastructure, cluster operations and platform integrations so you spend more time building products. With all resources available via Kubernetes, you get unmatched flexibility and performance with less infrastructure overhead.

Every compute-intensive workload benefits from Kubernetes

01

Standards-based inference platform with industry-leading scalability

Deploy inference with a single YAML. We support all popular ML Frameworks: TensorFlow, PyTorch, SKLearn, TensorRt, ONNX as well as custom serving implementations. Optimized for NLP with streaming responses and context aware

02

Industry standard architecture, designed to deliver the best possible performance

We build our distributed training clusters with a rail-optimized design using to deliver the highest distributed training performance possible.

03

Accelerate artist workflows by eliminating the render queue

Leverage container auto-scaling in render managers to go from a stand-still to rendering

04

Run thousands of GPUs for parallel computation

Leverage powerful Kubernetes native workflow orchestration tools to run and manage the lifecycle of parallel processing pipelines for VFX rendering, health sciences simulations, financial analytics and more.

Let’s experience

We've done all the heavy lifting so you don't have to - get immediate access to accelerated computing focused on simplicity, speed and scale to take your AI models from concept to production or contact us to find out more
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