Rent a GPU pod with ComfyUI already running.
6 cards from 24 to 141 GB of VRAM. Metered per second, shown in credits per minute. Stop the pod and GPU billing stops.

6 GPU types, from 4 to 21 cr per minute.
| GPU | VRAM | Good for | Regions | Availability | Price |
|---|---|---|---|---|---|
| RTX 4090 | 24 GB | Fast drafts, image models, small video | SG · TYO | In stock | 4 cr/min |
| RTX 5090 | 32 GB | Bigger batches, quicker drafts | SG | Limited | 5 cr/min |
| L40S | 48 GB | 14B video at 480p, steady throughput | SG · FRA | In stock | 5 cr/min |
| RTX PRO 6000 | 96 GB | 14B video at 720p, LoRA training | SG · IAD | Limited | 8 cr/min |
| H100 | 80 GB | Heavy pipelines, fast long renders | IAD | Low stock | 17 cr/min |
| H200 | 141 GB | Heaviest pipelines and long renders | IAD | Low stock | 21 cr/min |
Sample rates and availability. Metered per second, shown in credits per minute.
150 free credits run an RTX 4090 for 37 min.
- on an RTX 4090 at 4 cr/min
- 37 min
- on an RTX 4090 at 4 cr/minsample
- on an L40S at 5 cr/min
- 30 min
- on an L40S at 5 cr/minsample
- on an RTX PRO 6000 at 8 cr/min
- 18 min
- on an RTX PRO 6000 at 8 cr/minsample
- on an H200 at 21 cr/min
- 7 min
- on an H200 at 21 cr/minsample
Wan 2.2 14B · 720p needs about 40 GB, so it fits on the L40S and larger cards.
The matrix compares VRAM with what common workloads need. A benchmark of your own workflow gives the real figure.
| GPU | FLUX · 1MP needs 16 GB | Wan 2.2 14B · 480p needs 24 GB | Wan 2.2 14B · 720p needs 40 GB | LoRA training needs 80 GB |
|---|---|---|---|---|
| RTX 4090 24 GB | fits | fits | out of memory | out of memory |
| RTX 5090 32 GB | fits | fits | out of memory | out of memory |
| L40S 48 GB | fits | fits | fits | out of memory |
| RTX PRO 6000 96 GB | fits | fits | fits | fits |
| H100 80 GB | fits | fits | fits | fits |
| H200 141 GB | fits | fits | fits | fits |
Sample VRAM needs.
A new pod is ready to open in the browser in about 11 seconds.
connect · pod_7a2
# ComfyUI in the browser (port 8188)
https://pod-7a2.milvey.example
# Shell (port 22), key-based
ssh root@pod-7a2.milvey.example
# Jupyter (port 8888)
https://pod-7a2.milvey.example:8888pod log · first 11 seconds
[00:00:01] pulling image milvey/comfyui:cu128 (cached)
[00:00:03] mounting volume vol_brand (120 GB)
[00:00:05] starting ComfyUI on :8188
[00:00:09] loaded 4 custom node packs
[00:00:11] ready · https://pod-7a2.milvey.exampleExample pod. Your pod gets its own private URL.
A stopped pod keeps its disk, and the disk is still billed.
Stop lora-train-brand?
- GPU billing stops now.
- The 120 GB disk is kept and still billed while stopped.
- Start it again later with the same files.
CancelStop pod
Terminate lora-train-brand?
- All billing stops now.
- The 120 GB disk is deleted and can’t be recovered.
- Download brand_lora_v4_step1800.safetensors first.
CancelTerminate and delete disk
Example dialogs. Idle pods can stop on their own after a timeout you set per pod.
Tell me which GPU you need and for how long.
Join the list and reply with the card and the workload. I’ll tell you whether it fits and roughly what it costs in credits.
Email when signups open · Unsubscribe any time