Use cases
Last updated
Last updated
Leasing GPUs for AI Development
Step 1: Platform Access
Users access the Clore.ai platform via the web interface
They log in using their credentials or create a new account if they are first-time users.
In the GPU marketplace, users select servers equipped with their desired GPUs rather than selecting just the GPU alone. The platform offers filters to search by GPU model, GPU count, CPU cores, RAM, reliability, network speed (upload/download), CUDA version, country, PCI width, and version. Users can choose between:
• Mainline Market: Offers GPUs without power limits, ideal for AI workloads.
• Efficient Market: Provides power-limited (PL enabled) GPUs for more energy-efficient tasks.
Once a server is selected, users can see the daily rental cost upfront. Payments are made from an internal wallet integrated into the platform, allowing users to pay using Clore Coin (CLORE) or Bitcoin (BTC).
After payment, users can choose from pre-configured system images suited for AI work, such as “Stable Diffusion” for machine learning, or a basic “Ubuntu Jupiter” image for general computing tasks. This helps users get started quickly without the need for manual software setup.
Once the payment is confirmed, users gain access to the server, enabling them to run AI models, simulations, or other computational workloads.
Renting GPUs for Cryptocurrency Mining
Miners enter the marketplace and filter listings to find servers suitable for cryptocurrency mining based on their hardware requirements (e.g., GPU model, count, network speed).
Once a server is selected, miners proceed with the leasing process, similar to the AI use case. After leasing, they can integrate the machine into their HiveOS account by providing their HiveOS credentials. All mining configurations, software installations, and monitoring are managed within HiveOS.
Step 3: Mining Earnings and Payments
Any cryptocurrency mined during the lease is credited directly to the miner’s wallet that was set in HiveOS.