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Massed Compute

GPUs on-demand, at scale.

Usage Based
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Description

Massed Compute offers access to high-performance cloud computing infrastructure, specializing in NVIDIA GPU resources for demanding workloads. Users can choose between bare metal servers for maximum control and performance, or flexible on-demand GPU and CPU instances rented by the hour without long-term commitments. The platform is designed to support various applications, including AI training, machine learning development, scientific simulations, big data analysis, and VFX rendering.

As an NVIDIA Preferred Partner, Massed Compute provides a comprehensive catalog of enterprise-grade GPUs, ensuring users can select the optimal hardware for their specific performance and budget requirements. They emphasize reliability through Tier III data centers and offer direct support from experienced IT professionals. Users can manage resources through an Inventory API for seamless integration or utilize a user-friendly virtual desktop interface for easy deployment.

Key Features

  • Bare Metal Servers: Direct access to physical servers without virtualization layers for maximum performance and control.
  • On-Demand Compute: Rent GPU and CPU compute power by the hour with high uptime and reliability.
  • Inventory API: Seamlessly integrate Massed Compute's NVIDIA GPU inventory into business platforms for provisioning and management.
  • Extensive NVIDIA GPU Catalog: Access to a wide range of enterprise-grade NVIDIA GPUs (H100, A100, L40S, L40, A6000, RTX A6000, A40, RTX A5000, A30).
  • Flexible Hourly Pricing: Pay-as-you-go model with affordable hourly rates and no long-term commitments or bandwidth overcharges.
  • Direct Expert Support: Access to support engineers knowledgeable in hardware, software, inference optimization, and NVIDIA drivers.
  • Virtual Desktop Interface: User-friendly interface for accessing compute power without command line expertise.
  • Tier III Data Center: High reliability, advanced redundancy, and consistent uptime for demanding applications.
  • NVIDIA Preferred Partner: Ensures access to high-performing, reliable GPU technology solutions.

Use Cases

  • AI Model Training and Development
  • Machine Learning Inference and Deployment
  • VFX Rendering and Animation
  • High-Performance Computing (HPC) Tasks
  • Scientific Simulations and Research
  • Big Data Analytics and Visualization
  • Cloud GPU Infrastructure Provisioning
  • GPU-Accelerated Application Hosting

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