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ARCHITECTURE.md

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Architecture of NVIDIA-GPU-HPC-Platform

Overview

NVIDIA-GPU-HPC-Platform is designed to harness the power of NVIDIA GPUs for high-performance computing, real-time simulations, and autonomous systems. The platform integrates CUDA for GPU acceleration, NVIDIA Jetson for edge computing, Triton Inference Server for serving machine learning models, and NVIDIA Clara for healthcare applications.

Components

HPC

  • Molecular Dynamics
  • Fluid Simulation
  • Climate Modeling
  • Genomic Analysis

Edge Computing

  • Jetson Control
  • Jetson Sensors Integration
  • Jetson Autonomous Vehicle

Data Processing

  • Real-Time Data Ingestion
  • Data Transformation
  • Data Visualization
  • Big Data Processing

Cloud Management

  • Kubernetes Management
  • Docker Orchestration
  • Resource Allocation

Microservices

  • User Service
  • Auth Service
  • Payment Service
  • Notification Service

API & Security

  • API Gateway
  • Authentication & Authorization
  • Data Encryption

CI/CD Pipeline

  • Jenkins Integration
  • Docker Support
  • Kubernetes Deployment

Automation

  • Cloud Provisioning
  • Cloud Monitoring
  • Cloud Automation

Interaction

  • Microservices communicate via REST APIs.
  • Data is ingested, processed, and visualized using a combination of Python, C++, Java, and JavaScript.
  • Kubernetes orchestrates containerized applications, ensuring scalability and high availability.
  • Jenkins automates the CI/CD pipeline, deploying applications seamlessly.