Reserved GPU. Burst When Available.
Stop racing the pod market. Your Qiln workspace gets a dedicated primary GPU allocation by plan — a full GPU or GPU slice (MIG) depending on the workspace. Keep the same environment, folders, routes, and models; add burst GPUs when the pool has room.
- Dedicated GPU or GPU slice by plan
- Optional burst capacity when available
- No shared-VRAM surprises from other users

Real Folders. Private Model Vaults.
Your ComfyUI setup should not vanish with the pod. Keep checkpoints, LoRAs, VAEs, ControlNets, workflows, custom nodes, inputs, and outputs in persistent workspace folders. Snapshot before risky node changes; roll back when dependencies break.
- Private model vaults with direct file access
- Persistent outputs, workflows, and custom nodes
- ZFS-backed snapshots, clones, and rollbacks

Blueprints for persistent AI workspaces.
name: comfyui-workspace
display_name: Persistent ComfyUI Workspace
image_alias: ubuntu:24.04-cuda
apps:
- name: comfyui
route: https://{{ workspace.slug }}.qiln.com
command: /opt/comfyui/start.sh
- name: vscode
route: https://{{ workspace.slug }}-code.qiln.com
gpu:
primary: reserved
burst: true
volumes:
- name: model-vault
type: private_vault
mount_path: /opt/comfyui/models
- name: outputs
type: persistent_folder
mount_path: /opt/comfyui/output
- name: custom-nodes
type: persistent_folder
mount_path: /opt/comfyui/custom_nodes
snapshots:
before_updates: true
retain: last_10
endpoints:
- name: workflow-api
app: fastapi-wrapper
route: https://{{ workspace.slug }}-api.qiln.comWorkspace, not pod
ComfyUI and VS Code get stable routes inside one durable workspace instead of another throwaway GPU session.
Reserved primary GPU
The workspace has primary GPU capacity reserved by plan, with burst capacity available when the pool has room.
Real folders and rollback
Models, outputs, and custom nodes mount as persistent folders with snapshots before risky updates.
Path to endpoints
When a visual workflow becomes useful, wrap it behind a stable API route instead of rebuilding somewhere else.
A Qiln blueprint describes the workspace a user opens — apps, folders, GPU capacity, routes, snapshots, and endpoint paths.






