A naukri.com initiative
Cloudblog
4w
410
Image Credit: Cloudblog
Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE
- AI and NVIDIA BioNeMo Framework aim to revolutionize medical treatments by accelerating drug discovery timelines.
- NVIDIA BioNeMo offers models tailored for medical research, aiding in the identification and optimization of potential drug candidates.
- The framework enables analysis of DNA, RNA, proteins, and chemicals for predicting molecular interactions and designing therapeutics at scale.
- BioNeMo, combined with Google Kubernetes Engine (GKE), facilitates faster iteration, fault tolerance, and orchestration of distributed workloads.
- BioNeMo includes the BioNeMo Framework for training biomolecular AI models and BioNeMo Blueprints for drug discovery workflows.
- The integration of BioNeMo with GKE allows for distributed pretraining, model finetuning, and efficient resource utilization.
- BioNeMo Blueprints offer reference workflows for tasks like protein binder design and molecular docking using advanced AI models.
- Deployment steps for pretraining ESM-2 model on GKE involve creating a cluster, adding node pools with NVIDIA GPUs, and running pretraining jobs.
- Steps for deploying BioNeMo Blueprints for inferencing include creating NIM deployments and using port forwarding to interact with pods.
- GKE's scalability and container orchestration, coupled with BioNeMo's capabilities, streamline AI deployment in life sciences and beyond.
Read Full Article
24 Likes
For uninterrupted reading, download the app