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AlphaFold2

  • Overview
  • Prerequisites
  • Quickstart Guide
  • Deployment Guide
  • AlphaFold2 NIM Endpoints
  • AlphaFold2 NIM Performance
  • Configuring the NIM at Runtime
NVIDIA NIM for AlphaFold2
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  • NVIDIA NIM for AlphaFold2
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NVIDIA NIM for AlphaFold2

AlphaFold2

  • Overview
    • Advantages of NIMs
  • Prerequisites
    • Supported Hardware
    • NGC (NVIDIA GPU Cloud) Account
    • NGC CLI Tool
  • Quickstart Guide
  • Deployment Guide
    • View available NIM container information
    • Pull the container image
      • NIMTools
      • Docker
      • NGC SDK
    • Run the Container
      • Optional runtime variables and performance tuning
      • Checking the status of the AlphaFold2 NIM
      • Killing a running container
      • Model Checkpoint Caching
  • AlphaFold2 NIM Endpoints
    • Usage
      • Predict structure from an input sequence
      • Predict MSA from an input sequence
      • Predict structure from an input MSA
  • AlphaFold2 NIM Performance
    • Recommended System Requirements
    • General Performance Guidelines
    • Sequence to MSA
    • MSA to Structure and Sequence to Structure
  • Configuring the NIM at Runtime
    • Brief review: starting the AlphaFold2 NIM
    • Configuring the location of the NIM cache
    • Using an alternative port for NIM requests
    • Configuring the number of parallel MSA runners and the number of threads available to each runner
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Last updated on Nov 18, 2024.