GPU Node | Corvex.ai

EKS is great. The bill, though . . .

Amazon EKS is great, but the premium of AWS GPU instances is a lot to pay for some convenience.

Until now, you had two choices: pay the premium or undertake a complex migration to a different AI cloud.

Now with Corvex, you can get the performance of containerized NVIDIA GPUs plus the cost savings of an independent AI cloud – all without leaving the EKS environment.

Don’t Sacrifice Cost or Compatibility: Choose Corvex

Compatible with your existing AWS environment. Setup in minutes.

Cut GPU Costs by up to 70%

Stop paying the AWS markup. By integrating Corvex’s cost-efficient GPUs, you get the hardware and EKS control plane you need without the premium price tag.

Zero Changes to Your Workflow

Corvex nodes are a seamless, invisible extension of your cluster, and your Ops teams use the same EKS console, kubectl commands, and IAM security policies they already know.

Unleash Performance

Our dedicated GPU nodes run at peak efficiency with top-tier, low-latency networking, giving you maximum performance for demanding AI training, inference, and batch processing workloads.

Secure by Design

Corvex nodes connect to your AWS environment over encrypted, private AWS Direct Connect or VPN links. Access is controlled through the same AWS IAM integration you use for the rest of your cluster, with dedicated tenancy by default.

Corvex GPU Clusters in 3 Simple Steps

Corvex Confidential protects your AI workloads using hardware-based security to keep sensitive information private. We leverage Trusted Execution Environments (TEEs) — secure, isolated areas of a GPU — to ensure your code and data are protected and verifiable during execution.

Try It Now

Provision Your Nodes

Corvex provisions dedicated managed K8 nodes.

Connect to EKS

Corvex makes it easy for you to connect Corvex GPU nodes to your existing EKS control planes. With a few clicks the new self-managed worker nodes securely join your EKS cluster.

Deploy Your Workloads

Your EKS control plane sees the new nodes just like native EC2 GPU instances. Use the same kubectl commands, CI/CD pipelines, and deployment manifests you use today.

An Extension of Your AWS Environment

Corvex EKS GPU Node Integration is built on a simple and secure foundation. Your EKS control plane, networking (VPC), and security groups remain entirely within your AWS account.

Corvex nodes are attached as self-managed worker nodes over a secure, private, and low-latency connection.

This model gives you the operational simplicity of a single, unified Kubernetes cluster with the cost and performance benefits of a hybrid cloud architecture.

Frequently Asked Questions

1. How exactly does Corvex connect to my AWS VPC?

We establish a secure, private link between our data centers and your AWS environment using either AWS Direct Connect or a site-to-site VPN. This ensures all traffic between your EKS control plane and our GPU nodes is encrypted and never traverses the public internet.

2. What about data egress fees from AWS?

You are responsible for standard AWS data transfer charges when moving data out of AWS to Corvex nodes. However, for most AI/ML workloads, the massive GPU cost savings (up to 70%) dramatically outweigh these data transfer costs, delivering a significantly lower Total Cost of Ownership (TCO).

3. Which GPU models do you offer?

We provide access to the latest and most powerful GPUs from NVIDIA, including the H200 and B200 series, ensuring you have the best hardware for your most demanding jobs.

4. Will I notice any network latency?

Our infrastructure is engineered for high-bandwidth, low-latency communication. The connection is designed to support the same pod-to-pod and pod-to-service communications as in-region EC2 nodes, making it ideal for distributed training and other network-intensive tasks.

Drop-In GPU Clusters To Fit Your Budget