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NVIDIA NIM for VISTA-3D - Home

NVIDIA NIM for VISTA-3D

NVIDIA NIM for VISTA-3D - Home

NVIDIA NIM for VISTA-3D

Table of Contents

VISTA-3D NIM Documentation

  • Overview
  • Release Notes
  • Getting Started
  • Advanced Usage
  • Model fine-tuning
  • API Reference
  • Model Details
  • Performance
  • Configuration
  • Support Matrix

NVIDIA NIM for VISTA-3D#

VISTA-3D NIM Documentation

  • Overview
    • Description
    • Terms of use
    • References
  • Release Notes
    • Release 1.0.0
  • Getting Started
    • Core Workflows of VISTA-3D
    • Setup and Prerequisites
      • Hardware Requirements
      • Software Requirements
      • NGC (NVIDIA GPU Cloud) Account Setup
      • NGC CLI Tool Setup
    • Usage Instructions
      • Running NIM
      • Health and Liveness Checks
      • Running Inference
        • Method 1: Segment All Labels
        • Method 2: Segment Specific Organs
        • Method 3: Single Organ with User Points
      • Stopping the Container
      • Visualization with 3D Slicer
        • Installation
        • Visualization and Rendering
  • Advanced Usage
    • Multi-GPU Load Balancing
    • Infer with Local Image Files or DICOM Folder
    • Writing Data to Local Mounted Directory
    • Override Bundle
    • Infer without TensorRT
    • Change Port
    • Image URL Restrictions
      • Environment Variables
    • FAQ (Frequently Asked Questions)
  • Model fine-tuning
    • Fine-tune the Model
    • Use the fine-tuned model in NIM
    • Troubleshooting
      • Common Issues
      • Logs and Debugging
  • API Reference
    • Inference Request Payload
    • Inference Example
  • Model Details
    • Model Architecture
    • Input
    • Output
    • Software Integration
    • Inference
    • Supported Anatomy
    • Ethical Considerations
    • License
  • Performance
    • Accuracy Performance
    • Speed Performance
      • Case 1
      • Case 2
      • Case 3
      • Case 4
      • Case 5
      • Case 6
  • Configuration
    • GPU Selection
    • Shared memory flag
    • Environment Variables
    • Volumes
  • Support Matrix
    • Models
    • Supported Hardware
      • GPU Microarchitecture Compatibility
      • CUDA Compute Capability

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Last updated on Jan 09, 2025.