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Researchers and builders at main pharmaceutical and techbio corporations can now simply deploy NVIDIA Clara software and services for accelerated healthcare via Amazon Net Companies.
Announced today at AWS re:Invent, the initiative provides healthcare and life sciences builders utilizing AWS cloud sources the flexibleness to combine NVIDIA-accelerated choices akin to NVIDIA BioNeMo — a generative AI platform for drug discovery — coming to NVIDIA DGX Cloud on AWS, and presently out there by way of the AWS ParallelCluster cluster administration software for top efficiency computing and the Amazon SageMaker machine studying service.
1000’s of healthcare and life sciences corporations globally use AWS. They may now be capable of entry BioNeMo to construct or customise digital biology basis fashions with proprietary information, scaling up mannequin coaching and deployment utilizing NVIDIA GPU-accelerated cloud servers on AWS.
Techbio innovators together with Alchemab Therapeutics, Basecamp Research, Character Biosciences, Evozyne, Etcembly and LabGenius are among the many AWS customers already utilizing BioNeMo for generative AI-accelerated drug discovery and growth. This collaboration provides them extra methods to quickly scale up cloud computing sources for growing generative AI fashions skilled on biomolecular information.
This announcement extends NVIDIA’s present healthcare-focused choices out there on AWS — NVIDIA MONAI for medical imaging workflows and NVIDIA Parabricks for accelerated genomics.
New to AWS: NVIDIA BioNeMo Advances Generative AI for Drug Discovery
BioNeMo is a domain-specific framework for digital biology generative AI, together with pretrained giant language fashions (LLMs), information loaders and optimized coaching recipes that may assist advance computer-aided drug discovery by rushing goal identification, protein construction prediction and drug candidate screening.
Drug discovery groups can use their proprietary information to construct or optimize fashions with BioNeMo and run them on cloud-based excessive efficiency computing clusters.
One among these fashions, ESM-2 — a robust LLM that helps protein construction prediction — achieves virtually linear scaling on 256 NVIDIA H100 Tensor Core GPUs. Researchers can scale to 512 H100 GPUs to finish coaching in a number of days as a substitute of a month, the coaching time printed within the unique paper.
Builders can practice ESM-2 at scale utilizing checkpoints of 650 million or 3 billion parameters. Extra AI fashions supported within the BioNeMo coaching framework embrace small-molecule generative mannequin MegaMolBART and protein sequence era mannequin ProtT5.
BioNeMo’s pretrained fashions and optimized coaching recipes — which can be found utilizing self-managed companies like AWS ParallelCluster and Amazon ECS in addition to built-in, managed companies via NVIDIA DGX Cloud and Amazon SageMaker — might help R&D groups construct basis fashions that may discover extra drug candidates, optimize moist lab experimentation and discover promising medical candidates sooner.
Additionally Obtainable on AWS: NVIDIA Clara for Medical Imaging and Genomics
Mission MONAI, cofounded and enterprise-supported by NVIDIA to assist medical imaging workflows, has been downloaded greater than 1.8 million occasions and is out there for deployment on AWS. Builders can harness their proprietary healthcare datasets already saved on AWS cloud sources to quickly annotate and construct AI fashions for medical imaging.
These fashions, skilled on NVIDIA GPU-powered Amazon EC2 instances, can be utilized for interactive annotation and fine-tuning for segmentation, classification, registration and detection duties in medical imaging. Builders may also harness MRI picture synthesis fashions out there in MONAI to reinforce coaching datasets.
To speed up genomics pipelines, Parabricks permits variant calling on a complete human genome in round quarter-hour, in comparison with a day on a CPU-only system. On AWS, builders can rapidly scale as much as course of giant quantities of genomic information throughout a number of GPU nodes.
Greater than a dozen Parabricks workflows are available on AWS HealthOmics as Ready2Run workflows, which allow clients to simply run pre-built pipelines.
Get began with NVIDIA Clara on AWS to speed up AI workflows for drug discovery, genomics and medical imaging.
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