Borrowing (Deployments)

Suppose you’re part of an AI startup needing to train a complex model. With Messier Nodes, you can access top-tier GPUs at competitive rates. Just log in, select the type of GPU you need, and within minutes, start training your model on high-end equipment that was otherwise too expensive for continuous lease. If you’re in need of powerful GPU resources for your projects, renting a GPU node on our platform is a straightforward process. Here’s how you can get started:

Step 1: Deposit USDT

Before you can rent a GPU node, you’ll need to deposit USDT into your account. This currency is used to pay for the rental of GPU power. To deposit USDT:

• Go to the "Profile" section of your dashboard.

• Select "Deposit" and enter the amount of USDT you want to add to your account.

• Approve the transaction in your wallet (such as Metamask).

• Once the transaction is confirmed, the USDT will be credited to your account, ready to be used for renting GPU nodes.

Step 2: Navigate to the "Deployments" Tab

After ensuring you have sufficient USDT in your account, head to the "Deployments" tab in your dashboard. This is where you’ll find all the options for deploying a GPU node.

Step 3: Start a New Deployment

Scroll down to find the 'New Deployment' option and click to begin the process.

Step 4: Select Your Deployment Type

The platform offers two types of deployments:

• GPU-Powered SSH Terminal: Ideal for advanced command-line operations, providing full control over the GPU resources.

• JupyterLab: A web-based interactive environment perfect for notebooks, code execution, and data analysis. Choose the one that best fits your project needs.

Step 5: Choose the Duration and Node

• Select the Duration: Specify how long you’ll need the GPU resources. The platform offers flexible rental periods to match the specific needs of your project.

• Pick an Active Node: Choose from the available active nodes that best suit your requirements in terms of power and proximity.

Step 6: Monitor the Deployment Status

Once you’ve completed the steps above, your node will transition through several statuses—processing, creating, and finally becoming active. When the node is active, click on the icon to view detailed information and access the URL for your deployment.

Congratulations! Your GPU node is now ready for use, and you can start your project with the full power of a GPU at your fingertips.