Hub documentation
Pricing and Billing
Pricing and Billing
Hugging Face Jobs let you run compute tasks on Hugging Face infrastructure without managing it yourself. Simply define a command, a Docker image, and a hardware flavor among various CPU and GPU options.
Jobs are available to PRO users and Team or Enterprise organizations.
Billing on Jobs is based on hardware usage and is computed by the minute: you get charged for every minute the Jobs runs on the requested hardware.
During a Job’s lifecycle, it is only billed when the Job is Starting or Running. This means that there is no cost during build.
If a running Job starts to fail, it will be automatically suspended and the billing will stop.
Pricing
Jobs are billed per minute based on the hardware used. Below are the available hardware options and their pricing.
CPU
| Hardware | CPU | Memory | Hourly Price |
|---|---|---|---|
| CPU Basic | 2 vCPU | 16 GB | Free |
| CPU Upgrade | 8 vCPU | 32 GB | $0.03 |
GPU
| Hardware | CPU | Memory | GPU Memory | Hourly Price |
|---|---|---|---|---|
| Nvidia T4 - small | 4 vCPU | 15 GB | 16 GB | $0.40 |
| Nvidia T4 - medium | 8 vCPU | 30 GB | 16 GB | $0.60 |
| 1x Nvidia L4 | 8 vCPU | 30 GB | 24 GB | $0.80 |
| 4x Nvidia L4 | 48 vCPU | 186 GB | 96 GB | $3.80 |
| 1x Nvidia L40S | 8 vCPU | 62 GB | 48 GB | $1.80 |
| 4x Nvidia L40S | 48 vCPU | 382 GB | 192 GB | $8.30 |
| 8x Nvidia L40S | 192 vCPU | 1534 GB | 384 GB | $23.50 |
| Nvidia A10G - small | 4 vCPU | 15 GB | 24 GB | $1.00 |
| Nvidia A10G - large | 12 vCPU | 46 GB | 24 GB | $1.50 |
| 2x Nvidia A10G - large | 24 vCPU | 92 GB | 48 GB | $3.00 |
| 4x Nvidia A10G - large | 48 vCPU | 184 GB | 96 GB | $5.00 |
| Nvidia A100 - large | 12 vCPU | 142 GB | 80 GB | $2.50 |
You can also retrieve available hardware and pricing programmatically via the API at GET /api/jobs/hardware.
Manage billing
Bill to your organization
Billing is done to the user’s namespace by default, but you can bill to your organization instead by specifying the right namespace:
hf jobs run --namespace my-org-name ...In this case the Job runs under the organization account, and you can see it in your organization Jobs page (organization page > settings > Jobs).
View current compute usage
You can look at your current billing information for Jobs in in your Billing page, under the “Compute Usage” section:
Additional information about billing can be found in the dedicated Hub documentation.
Recommendations
Set timeout limits
Set a timeout when creating the Job to ensure it can’t run beyond a certain duration.
A Job run that reaches the timeout duration is automatically stopped, and so is its billing.
Here is how to set a timeout with the CLI:
hf jobs run --timeout 3h ...Note that the default timeout is set to 30 minutes. You must therefore specify a longer timeout if your Job requires more time to run.
Cancel irrelevant Jobs
If a running Job is no longer relevant, you can cancel it prematurely to stop its billing, either via the Job page or the CLI:
hf jobs cancel <job-id>
