Everything is billed per second. Prices change roughly twice a year when power costs move. If you run more than $5k a month, email us and we will find a volume number.
Billed while running, per second, rounded up to the minute. Storage is separate. You stop paying the moment you delete the instance.
| GPU | VRAM | RAM | Price / hr | Best for |
|---|---|---|---|---|
| RTX 4090 | 24 GB | 64 GB | $0.19 | Fine-tuning small models, community containers |
| RTX 6000 Ada | 48 GB | 96 GB | $0.45 | Mid-size training, larger VRAM on a budget |
| A10G | 24 GB | 48 GB | $0.35 | Inference, batch jobs |
| L40S | 48 GB | 96 GB | $0.80 | Inference and fine-tuning on one box |
| A100 40GB | 40 GB | 128 GB | $0.95 | Mid-size training runs |
| A100 80GB | 80 GB | 128 GB | $1.45 | 30B to 70B inference and training |
| H100 80GB | 80 GB | 128 GB | $2.10 | Large training runs, heavy batch inference |
A flat monthly base per model that covers one replica, plus per-token usage. We add replicas when traffic needs them and you only pay for the extra compute while those replicas actually run.
| Model size | Base / mo | Input / M tokens | Output / M tokens | Includes |
|---|---|---|---|---|
| 1B to 7B | $29 | $0.05 | $0.15 | 1 replica on a 4090 |
| 8B to 13B | $49 | $0.10 | $0.30 | 1 replica on an A10G |
| 14B to 40B | $99 | $0.20 | $0.60 | 1 replica on an L40S |
| 41B to 70B | $199 | $0.40 | $1.10 | 1 replica on an A100 |
| Thing | Price | Note |
|---|---|---|
| $0.02/GB/month | For datasets and checkpoints between runs | |
| $2/mo | If you need a stable egress IP | |
| $40/mo | We read it, we answer it | |
| $15 each | We bake your deps into an image |
Current requests finish, new ones get a 429. Your spend never goes over the cap.
No, everything is per-second. If a longer commitment actually saves you money, email us and we will quote it.
Yes. Upload them or point us at a Hugging Face repo. Most checkpoints under 70B deploy in a few minutes.
New accounts get $10 of credit. After that you pay. We do not do a permanent free tier because we cannot afford to.