Description
Massed Compute provides access to high-performance NVIDIA cloud GPUs on demand, designed to accelerate AI, machine learning, big data crunching, and large-scale rendering projects. Established in 2021, they operate as an NVIDIA Preferred Partner, ensuring access to the latest enterprise-grade hardware and vendor-tested drivers. Their infrastructure is housed in Tier III data centers and adheres to strict compliance standards including SOC 2, GDPR, and HIPAA, making it suitable for sensitive workloads.
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The service offers flexible compute solutions to meet diverse project needs. On-Demand GPUs are available for hourly rental, featuring pre-installed CUDA, no bandwidth caps, and optional VDI sessions, with instances deployable in approximately 90 seconds. For users requiring enhanced privacy and security, Bare Metal servers offer single-tenant hardware. GPU Clusters are designed for intensive computations, utilizing InfiniBand for high-speed networking. Additionally, a Programmatic API allows for the automation of GPU provisioning, integrating seamlessly with AI agents, notebooks, and CI/CD pipelines.
Massed Compute's catalog includes a wide range of NVIDIA GPUs, from the latest Blackwell and Hopper architectures (B300, B200, B100, H200, H100) to Ampere and Ada Lovelace (A100, L40S, RTX 6000, A6000, A40, A30). All instances come with pre-installed CUDA and current vendor drivers, eliminating the need for manual setup and compilation. Popular pre-configured templates are available for common AI tasks, such as PyTorch training, vLLM inference, ComfyUI for Stable Diffusion, and Ollama for chat models, alongside a JupyterLab DSNotebook environment.
The platform emphasizes ease of use and rapid deployment, allowing users to launch GPU instances quickly without long-term commitments or complex contracts. Billing is transparent and based on hourly usage, starting at $0.43/hr. This on-demand model is ideal for researchers, developers, and businesses looking for scalable and cost-effective GPU resources without the overhead of managing physical hardware. The programmatic API further empowers teams to automate their infrastructure management and scale resources dynamically based on project demands.
- CategoryMachine Learning Platforms
- Pricing ModelHourly
- DeploymentCloud
- PlatformsWeb
Massed Compute's Core Features
On-demand NVIDIA cloud GPUs
GPU models from B300 down to A30
Pre-installed CUDA and current drivers
No bandwidth caps
Hourly billing with no contracts
Instance setup in approximately 90 seconds
Bare metal servers for enhanced privacy
GPU clusters with InfiniBand networking
Programmatic API for automation
REST API endpoint for provisioning
Support for Python, Node.js, Go SDKs
NVIDIA Preferred Partner status
Tier III data centers
SOC 2, GDPR, HIPAA compliance
VDI included
How to use Massed Compute?
Configure: Select your desired NVIDIA GPU model and instance type.
Deploy: Launch your GPU instance via the web interface or API.
Utilize: Access your instance with pre-installed CUDA and drivers.
Automate: Integrate the programmatic API into your AI workflows.
Scale: Adjust resources as needed based on project demands.
Massed Compute's Use Cases
- AI Model Training
- Large Data Crunching
- ML Inference
- 3D Rendering
- AI Agent Integration
- Research & Development
