Training NVIDIA NeMo Megatron Large Language Model (LLM) using NeMo Framework on Google Kubernetes Engine
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Updated
Jun 13, 2024 - HCL
Training NVIDIA NeMo Megatron Large Language Model (LLM) using NeMo Framework on Google Kubernetes Engine
[DEV] Expérimentation avec terraform et GKE
A MVP of a platform for delivering reliable applications on Google Cloud
cockroach with k8s using terraform and ansible
This project demonstrates a series of best practices for improving the security of containerized applications deployed to Kubernetes Engine. You will deploy multiple instances of the same container image with a variety of security settings to illustrate the use of RBAC, security contexts, and AppArmor policies.
Helm chart and Terraform modules for the JARVICE XE Hybrid Cloud HPC platform
This project covers two use cases for RBAC within a Kubernetes Engine cluster. First, assigning different permissions to user personas. Second, granting limited API access to an application running within your cluster. Since RBAC's flexibility can occasionally result in complex rules, you will also perform common steps for troubleshooting RBAC a…
This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products products on Google GCP
Deploy a robust User Management System on Google Kubernetes Engine (GKE) utilizing Load Balancer, Persistent Volume Claims (PVC), and Storage Class.
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