As part of NVIDIA’s AI Enterprise software available on AWS Marketplace, developers will have access to an extensive library of AI models through standard APIs.
This integration with Amazon SageMaker and AWS ParallelCluster is designed to streamline the deployment and management of machine learning models and high-performance computing clusters on AWS.
Additionally, NIM can be orchestrated using AWS HealthOmics, tailored for biological data analysis.
In a blog post announcing the integration, NVIDIA noted that NIM incorporates genomic models sourced from Parabricks, a software platform developed by NVIDIA that specializes in accelerating and optimizing data analysis. gene.
These workflows are also accessible on AWS HealthOmics as Ready2Run workflows, allowing customers to deploy pre-built workflows.
NIM microservices provide AI models optimized for protein decoding and genome sequencing, as well as conversational AI and visual GenAI for avatars and digital humans.
Trained in organization-specific data utilization techniques such as Retrieval Enhanced Generation, these assistants can mine internal data sources to compile research.
The company says these applications can enhance patient support and clinician support by leveraging institution-specific data to synthesize research and improve productivity.
WHY IS THIS IMPORTANT?
The streamlined development of GenAI tools could have profound implications in the healthcare and life sciences industry.
Many startups are already capitalizing on the potential to accelerate the drug discovery process, train innovative models for protein design, and help researchers analyze cloud-based data.
Despite persistent concerns about the accuracy of AI and the broader implications of integrating a relatively new technology into all aspects of healthcare, an April survey by Wolters Kluwer Health shows that nearly 70% of doctors enthusiastically embrace the benefits of GenAI.
BIGGER TREND
In March, NVIDIA Healthcare introduced 25 new cloud-agnostic microservices that enable healthcare developers to integrate GenAI into their applications across a variety of use cases and various digital health initiatives, whether deployed in the cloud or on-premises.
The partnership with Johnson & Johnson MedTech will see the integration of NVIDIA AI technology in surgical procedures to enhance real-time analysis and expand the application of AI algorithms in surgical decision making. surgery, education and collaboration in the operating room.
About a year ago, the company integrated its AI Enterprise platform with Microsoft Azure machine learning, giving healthcare customers expanded support in building, deploying and managing AI applications Customize using over 100 NVIDIA AI frameworks and tools.
ON PROFILE
“Easy access to NIM will enable thousands of healthcare and life sciences companies using AWS to deploy synthetic AI faster without complexity,” NVIDIA said in the blog post. complexity in model development and packaging for production. “It will also help developers build workflows that combine AI models across different modalities, such as amino acid sequences, MRI images, and patient health records in plain text simple.”
Nathan Eddy is a technology and healthcare freelancer based in Berlin.
Email the writer: [email protected]
Twitter: @dropdeaded209
