Quantum Grid
  • Introduction
  • Overview
    • Ambitions
    • Hardware
    • Solar Energy Farm
  • Business Overview
    • Business Model
    • Token Ecosystem: Quant and SQuant
    • Services
      • AI Model
      • Hardware Packages
  • AI MODEL
    • Key Features
      • 1. Energy Distribution Optimization
      • 2. Continuous Monitoring and Predictive Maintenance
      • 3. Scalability and Adaptability
      • 4. Cost Reduction and Environmental Impact
      • 5. Advanced Analytics and Reporting
    • Custom Integration and Consulting
    • Summary of AI Bennefits
  • HARDWARE
    • Virtual Machines (VMs)
    • Virtualization Technologies
    • GPU Passthrough
    • Storage and Networking
    • Scalability and Load Balancing
    • Cost Optimization Strategies
    • Security and Compliance
    • Future Plans
    • Conclusion
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  1. HARDWARE

GPU Passthrough

Quantum Grid leverages GPU passthrough technology to efficiently rent out powerful GPUs for demanding tasks. This feature allows virtual machines (VMs) to directly access the host's GPU, providing near-native performance by bypassing the traditional virtualization layers of the host operating system.

By implementing GPU passthrough, we ensure that users receive dedicated access to high-performance GPUs for tasks such as deep learning, AI development, and high-performance computing (HPC), without the overhead of shared resources. This approach maximizes computational power, offering the necessary capabilities for machine learning, data analysis, graphic-intensive applications, and other specialized graphical needs.

While our primary focus remains on delivering robust CPU and memory resources, our GPU passthrough technology provides significant performance benefits, allowing users to execute complex workloads seamlessly. This setup enables high-speed processing and an enhanced user experience, particularly for intensive computational tasks.

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Last updated 7 months ago