PMS Cloud
Build on
PMS Cloud
VMs, containers and an OpenAI-compatible AI API. Docs for people, and for the agents that work with them.
from openai import OpenAI
client = OpenAI( base_url="https://api.pmservers.org/ai/v1", api_key="pms_sk_...",)
answer = client.chat.completions.create( model="gemma4-e4b", messages=[{"role": "user", "content": "Hello"}],)print(answer.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({ baseURL: 'https://api.pmservers.org/ai/v1', apiKey: process.env.PMS_API_KEY,});
const answer = await client.chat.completions.create({ model: 'gemma4-e4b', messages: [{ role: 'user', content: 'Hello' }],});console.log(answer.choices[0].message.content);curl https://api.pmservers.org/ai/v1/chat/completions \ -H "Authorization: Bearer $PMS_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemma4-e4b", "messages": [{"role": "user", "content": "Hello"}] }'Products
Choose what you build
Start with a VM or the AI API. Containers and storage come next.
VMs
Ubuntu VMs with a browser console. Pick a size, add an SSH key, and start.
AI API
OpenAI-compatible chat, embeddings and decisions. Billed by token.
ContainersComing soon
Always-on workers that connect out. No disk, no inbound traffic.
S3 storageComing soon
S3-compatible buckets. Works with the AWS CLI, boto3 and rclone.
Using an agent?
Section titled “Using an agent?”Give your agent this URL:
https://docs.pmservers.org/llms.txtIt lists every page as a raw Markdown file. All pages in one file are at https://docs.pmservers.org/llms-full.txt. See For agents.
Addresses
Section titled “Addresses”| What | Address |
|---|---|
| Console | https://console.pmservers.org |
| AI API (OpenAI-compatible) | https://api.pmservers.org/ai/v1 |
| Management API | https://api.pmservers.org/v1 |