EC2 vs EKS GPU task performance comparison

While both EC2 and EKS environments are using g4dn.xlarge instances, there could be several reasons why the task processing speed in the EC2 environment is much faster than in the EKS environment:

1. Overhead: EKS (Elastic Kubernetes Service) introduces additional layers of abstraction and management, which can lead to some performance overhead compared to running directly on EC2. This includes container runtime, orchestration, and networking layers.

2. Resource allocation: In EC2, the application has direct access to all the instance's resources. In EKS, the Kubernetes system itself consumes some resources, potentially leaving less available for your application.

3. GPU access: While both environments use GPU-enabled instances, the way GPUs are accessed might differ. EC2 provides more direct access to the GPU, while in EKS, GPU access is mediated through Kubernetes, which could introduce some latency.

4. Networking: EKS uses overlay networking, which can introduce additional latency compared to the direct networking in EC2.

5. Configuration: The EKS environment might not be optimally configured for GPU workloads. Ensuring proper GPU scheduling, using GPU-aware plugins, and configuring resource limits correctly are crucial for performance in Kubernetes.

6. Container overhead: Running the application in a container (as is typical in EKS) can introduce a small performance penalty compared to running directly on the host OS in EC2.

7. Multi-threading efficiency: The multi-threading implementation might be more efficient in the EC2 environment due to direct access to the underlying hardware and OS scheduling.

To improve performance in the EKS environment, you could consider optimizing your Kubernetes configuration, ensuring proper GPU scheduling and allocation, and potentially using larger instance types or bare metal instances for reduced virtualization overhead. However, some performance difference may still exist due to the inherent characteristics of the two environments.
Sources
Amazon EC2 G3 Instances — Amazon Web Services (AWS)
Amazon EC2 - P2 Instances

Hello,

also consider that EC2 instances typically have optimized GPU drivers pre-installed, while in EKS container images may use different GPU driver or CUDA versions, leading to compatibility issues between the container's CUDA version and the node's GPU driver.

Hope it helps,