How to Deploy an LLM on a Cloud GPU Server

Deploy an LLM in 5 Minutes

Deploying a large language model on GPUcloud is simple thanks to auto-provisioning.

Step 1: Choose Your GPU

For a 7B parameter model, an L4 (24 GB) is sufficient. For 70B+, go with an H100 or H200.

Step 2: Create Your Server

1. Log in to the GPUcloud console

2. Click "New Server"

3. Select your GPU and image (Ubuntu + CUDA)

4. Your server is ready in under 2 minutes

Step 3: Deploy Your Model

# Connect to your server

ssh user@your-server.gpucloud.ca

# Install vLLM

pip install vllm

# Launch your model

vllm serve meta-llama/Llama-3-8B-Instruct

Your LLM is now accessible via an OpenAI-compatible API.