Nvidia Blueprint Generative Virtual Screening logo

Nvidia Blueprint Generative Virtual Screening

by Nvidia
GenAI & Agents

The NVIDIA Blueprint: Virtual Screening demonstrates a streamlined virtual screening workflow that leverages generative AI and GPU accelerated NIM microservices to predict protein structures, generate optimized small molecules, and perform protein ligand docking—built for speed, flexibility, and scientific rigor. This reference framework simplifies deployment via containerized microservices (e.g., MSA Search, OpenFold2, GenMol, DiffDock), enabling researchers to accelerate the hit to lead pipeline with state of the art tools. For more info of the Blueprint, visit the blueprint card. JupyterHub is deployed to enable rapid experimentation, accompanied by a sample Python notebook demonstrating how to use the Blueprint.

Key features

K8S deployment

Deploy the Generative Virtual Screening blueprint on Kubernetes via Helm.

AI drug discovery workflow

Run generative and screening stages for candidate exploration.

GPU-accelerated pipeline

Use accelerated compute for model-heavy molecular workloads.

Integrated notebook workflow

Combine pipeline operations with Jupyter-based experimentation.


Pricing

Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.

Self-managed

Nvidia Blueprint Generative Virtual Screening on Kubernetes

Deploy Nvidia Blueprint Generative Virtual Screening on Kubernetes.

Free
Charged for resources
Setup time20+ minutes
ScalingAuto
MaintenanceSelf-managed (cluster)
Deploy
White-glove

Deploy with a solutions architect

Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.

  • Architecture review & sizing
  • Hands-on deploy session
  • 30 days of follow-up support
Talk to an expert

Security & compliance

Run Nvidia Blueprint Generative Virtual Screening on infrastructure built for AI workloads

Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead

Learn about Nebius AI Cloud

Security & compliance, out of the box

Nebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.

Explore the Trust center

Support

Application support

Provided by Nvidia. See the documentation and project links above.

Infrastructure support

Provided by Nebius for the underlying cloud infrastructure.