AI TOOL PROFILE

Clust: GPU Cloud Rental Software

Clust helps software companies access GPU hardware via a rental model. It is designed for teams that need scalable resources for AI model training and deployment.

Pricing

Hourly pricing ranges from $0.14 to $2.21. Spot pricing may reduce costs by over 50% compared to on-demand rates.

At a glance

Best for
Software companies, AI and ML developers, Engineering teams, AI researchers
Key use cases
AI Model Training, Model Fine-tuning, AI Model Deployment, Video Rendering
Integrations
Docker
Visit ClustClust software interface screenshot

How AI is used

Clust is a cloud infrastructure platform that allows users to rent GPU instances on an hourly basis. It is designed for developers and engineering teams who require processing power for AI and machine learning workloads.

The platform offers several GPU options, including the A100 80GB, RTX 4090, and V100, which can be launched via a graphical user interface (GUI) or a command-line interface (CLI). It supports the use of pre-built Docker images to help users set up their ML stacks.

Buyers should confirm whether they require consistent availability or if their budget allows for interruptible spot pricing, which provides lower rates. Users can also choose from different data center tiers to match their security requirements.

Key Features

  • On-demand GPU Instances

    Provides consistent pricing for GPU rentals based on hourly rates.

  • Interruptible Spot Pricing

    An auction-based pricing model that may reduce costs by over 50% for flexible workloads.

  • Pre-built Docker Images

    Includes images for Python, TensorFlow, and Jupyter to support ML stack setup.

  • GUI and CLI Access

    Includes scriptable filters and the ability to launch instances via a graphical interface or command line.

  • Tiered Data Center Security

    Offers security levels ranging from hobbyist setups to Tier-4 data centers.

Use Cases

  • AI Model Training

    Providing processing power to train AI models.

  • Model Fine-tuning

    Using GPUs to adjust and optimize existing AI models.

  • AI Model Deployment

    Hosting and deploying AI applications using cloud instances.

  • Video Rendering

    Using GPU power for video rendering and high-resolution visual processing.

Integrations

  • Docker

FAQ

What GPUs are available on Clust?

Clust provides access to several GPUs, including the RTX A4000, RTX A5000, V100, RTX 3090, RTX 4090, A40, L40, and A100 80GB.

What is the difference between on-demand and spot pricing on Clust?

On-demand pricing provides consistent costs, while interruptible spot-based pricing may save users over 50%.

Does Clust support AI and machine learning workflows?

Yes, the platform is designed for AI and ML workloads, specifically supporting the training, fine-tuning, and deployment of AI models.

Source category: Software Development

Source subcategory: Cloud Infrastructure

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