NVIDIA GPU Cloud

NVIDIA NGC (NVIDIA GPU Cloud) is a platform developed by NVIDIA that provides optimized software tools, models, and resources for accelerating AI, Machine Learning (ML), Deep Learning (DL), and high-performance computing (HPC) workflows—primarily on NVIDIA GPUs.

Features of NVIDIA NGC

Some of the features of NGC are as follows:

• Pretrained Models and Model Scripts
  • Access to state-of-the-art AI models for tasks like image classification, NLP, speech recognition, etc.
  • Includes pretrained weights and scripts to retrain or fine-tune on your own data.

• Containers
  • Docker containers optimized for NVIDIA GPUs.
  • Includes frameworks like TensorFlow, PyTorch, RAPIDS, and HPC apps.
  • These containers are tested and maintained for compatibility with CUDA and NVIDIA drivers.

 

• Helm Charts and Kubernetes Support
  • For deploying AI workloads on Kubernetes clusters using Helm charts tailored for GPU workloads.

• SDKs and Libraries
  • Access to libraries such as cuDNN, TensorRT, Triton Inference Server, and RAPIDS.
  • Designed for accelerating training, inference, and data science workflows.

 

• NGC Catalog
  • A searchable repository of software, including:
    • AI models
    • Framework containers
    • Industry-specific SDKs (e.g., Clara for healthcare, Isaac for robotics)

 

• Security and Reliability
  • All content is scanned for vulnerabilities and tested on NVIDIA hardware, ensuring production-grade performance and security.

Who Uses NGC?

The basic uses of the NGC are as follows:

• Data scientists and AI researchers for quick experimentation.
• MLOps teams to streamline training/inference pipelines.
• Enterprises building scalable AI solutions on NVIDIA hardware (e.g., DGX systems or cloud platforms like AWS, Azure, GCP).

NGC is hosted at ngc.nvidia.com, and much of the content is free to use (though some tools require registration or an NVIDIA Enterprise agreement).