By Amazon Web Services
Publication Date: 2026-02-24 18:48:00
This post is co-written with Neel Patel, Abdullahi Olaoye, Kristopher Kersten, Aniket Deshpande from NVIDIA.
Today, we’re excited to announce that the NVIDIA Evo-2 NVIDIA NIM microservice are now listed in Amazon SageMaker JumpStart. You can use this launch to deploy accelerated and specialized NIM microservices to build, experiment, and responsibly scale your drug discovery workflows on Amazon Web Services (AWS).
In this post, we demonstrate how to get started with these models using Amazon SageMaker Studio.
NVIDIA NIM microservices on AWS
NVIDIA NIM integrates closely with AWS managed services, such as Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon SageMaker AI, to support deployment of generative AI models at scale. As part of NVIDIA AI Enterprise, which is available in the AWS Marketplace, NVIDIA NIM is a set of microservices designed to accelerate the deployment of generative AI. These prebuilt containers support a broad spectrum of generative AI models, from open source community models, to NVIDIA Nemotron and custom models. NIM microservices are deployed with just a few lines of code, or with a few actions in the SageMaker Studio console. Engineered to facilitate seamless generative AI inferencing at scale, NIM ensures that generative AI applications can be deployed on various AWS services.
NVIDIA BioNeMo Evo 2 overview
NVIDIA BioNeMo is a platform of NIM…
