NVIDIA NIM for MSA Search# MSA-Search Overview Advantages of NIMs Prerequisites and Support Matrix for MSA Search NIM Sequence Databases and Search Types Supported Hardware Minimum System Hardware Requirements Supported NVIDIA GPUs Software Prerequisites NGC (NVIDIA GPU Cloud) Account Release Notes Release 2.1.0 Summary Key Changes Paired MSA Search for Protein Complexes API Changes New Features and Improvements Release 2.0.0 Summary Key Changes GPU Server Enabled by Default Database Changes MMSeqs2 Version Upgrade Hardware Support New Features and Improvements Performance Enhancements Migration Notes Configuration Changes Hardware Requirements For Existing Users Release 1.0.0 Summary Model Variants Notes and Limitations Getting Started Prerequisites Starting the NIM Container MSA Search Examples Python Client Example Shell Client Example Paired MSA Search for Protein Complexes Python Client Example (Paired) Shell Client Example (Paired) Next Steps Configuration GPU Selection Environment Variables Volumes Optimization and Scaling Scaling and Load Balancing Benchmarking Accuracy Accuracy Metrics AlphaFold2 Search - Database Coverage ColabFold Search - Database Coverage Paired MSA Search - Accuracy by Complex Performance Performance Metrics AlphaFold2 Search Type (Iterative) ColabFold Search Type (Cascaded) Paired MSA Search (ColabFold Paired) Sample Benchmarking Scripts API Reference OpenAPI Specification Multiple Sequence Alignment Search Input Parameters Outputs Paired Multiple Sequence Alignment Search Input Parameters Outputs Get Database Configuration Input Parameters Outputs Get MMSeqs2 Version Input Parameters Outputs Health Endpoints Readiness Check Outputs Liveness Check Outputs NIM Metadata Endpoints Version Outputs License Outputs Metadata Outputs Manifest Outputs Metrics Outputs
