📄️ Introduction
The AIoEKS foundational infrastructure lives in the infra/base directory. This directory contains the base
📄️ JARK on EKS
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.
📄️ EMR NVIDIA Spark-RAPIDS
The NVIDIA RAPIDS Accelerator for Apache Spark is a powerful tool that builds on the capabilities of NVIDIA CUDA® - a transformative parallel computing platform designed for enhancing computational processes on NVIDIA's GPU architecture. RAPIDS, a project developed by NVIDIA, comprises a suite of open-source libraries that are hinged upon CUDA, thereby enabling GPU-accelerated data science workflows.
📄️ JupyterHub on EKS
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.
📄️ Trainium on EKS
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.