Training ESM2
This samples walks through setting up a Google Cloud GKE environment to train ESM2 (Evolutionary Scale Modeling) using NVIDIA BioNeMo Framework 2.0
Tags: NVIDIA
Digital Human for Customer Service on GKE
This sample walks through creatinb intelligent, interactive avatars for customer service across industries in GKE by using NVIDIA NIM services.
Fine-Tuning ESM2
This sample walks through setting up a Google Cloud GKE environment to fine-tune ESM2 (Evolutionary Scale Modeling) using NVIDIA BioNeMo Framework 2.0
Generative Virtual Screening for Drug Discovery on GKE
This guide outlines the steps to deploy NVIDIA’s NIM blueprint for Generative Virtual screening for Drug Discovery on a Google Kubernetes Engine (GKE) cluster. Three NIMs - AlphaFold2, MolMIM & DiffDock are used to demonstrate Protein folding, Molecular generation and Protein docking.
NVIDIA NIM for Large Language Models (LLMs) on GKE
This guide explains how to deploy NVIDIA NIM inference microservices on a Google Kubernetes Engine (GKE) cluster, requiring an NVIDIA AI Enterprise License for access to the models. It details the process of setting up a GKE cluster with GPU-enabled nodes, configuring access to the NVIDIA NGC registry, and deploying a NIM using a Helm chart with persistent storage. Finally, it demonstrates how to test the deployed NIM service by sending a sample prompt and verifying the response, ensuring the inference microservice is functioning correctly.
NVIDIA BioNeMo
Deploying and managing servers dedicated to performing inference tasks for machine learning models.
NVIDIA NeMo
NVIDIA NeMo™ is an end-to-end platform for development of custom generative AI models anywhere. NVIDIA NeMo framework is designed for enterprise development, it utilizes NVIDIA’s state-of-the-art technology to facilitate a complete workflow from automated distributed data processing to training of large-scale bespoke models using sophisticated 3D parallelism techniques, and finally, deployment using retrieval-augmented generation for large-scale inference on an infrastructure of your choice, be it on-premises or in the cloud.
NVIDIA NIMs
These guides explains how to deploy NVIDIA NIM inference microservices on a Google Kubernetes Engine (GKE) cluster