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Hugging Face Community

huggingface.co/docs/hub/spaces-gpusGPU cloudcompute/hugging-face-communityJSONcomparereport an errorprovider JSON

Free allowance
'Do you have an awesome Space but need help covering the GPU hardware upgrade costs?
Verdict
caveatusable, with a named limit or an unprobed read path
Cost
free tier
Identity
emailno card, no phone
Binding limit
write-gatedthe grant is attached to a single Space rather than to an account: approval is discretionary, it covers the hardware tier of that Space only, and nothing in the record says the hours can be moved to a training job.
Evidence
documented9 sources; a first-party page was read and the sentence quoted
Freshness
stale on 2026-12-04checked 2026-11-03 (live); stale on 2026-12-04
Free tier'Do you have an awesome Space but need help covering the GPU hardware upgrade costs? We love helping out those with an innovative Space so please feel free to apply for a community GPU grant and see if yours makes the cut! This application can be found in your Space hardware repo settings in the lower left corner under "sleep time settings"'. There is also a lighter path, quoted: 'You can even request a free upgrade if you are building a cool demo for a side project!' The unit is a hardware tier attached to one Space, not a credit balance, and billing is quoted as 'based on hardware usage and is computed by the minute'.
unit hours; metered on wall-clock; grant
Pricenone stated
Limits
  • write-gated (binding) the grant is attached to a single Space rather than to an account: approval is discretionary, it covers the hardware tier of that Space only, and nothing in the record says the hours can be moved to a training job. source
Identityemail not published
Egressnot stated
Interfacerest inferred from the tooling the provider documents; not probed
Toolingnot stated
Composes withThe grant is a route to a dedicated, always-on GPU behind a public URL with no card: a free account gets 2 ZeroGPU Spaces with 5 minutes of GPU a day (the compute record huggingface-spaces-zerogpu), and this grant is what a project applies for when 96 GB and a 5 minute window are not enough. It composes with inference APIs because the Space can sit in front of an external API and hold the connection. Hardware table on the Spaces GPU page (column 'Hourly Price', billed by the minute while a Space is Starting or Running; the page has no on-demand, spot or community label and states no minimum bill): 1x Nvidia L4 24 GB $0.80, 1x Nvidia L40S 48 GB $1.80, Nvidia A100 - large 80 GB $2.50. The Nvidia H100 rows are struck through and marked 'removed December 2025'. No GeForce row.
Reliabilityno reliability event recorded
NotesThe amount is unverified and deliberately so: the docs publish no tier list, no hour count and no approval rate, and the public applications found on Spaces range from a demo to 2,500 GPU hours, so the honest claim is the mechanism. A 'community grant' could cover hardware only, hardware plus storage, or a cash-equivalent credit. The docs describe hardware ('covering the GPU hardware upgrade costs') and a public applicant asked for storage separately, which supports hardware-only.
Parsed numbers
  • has-free-tier 1
Evidence 9
datesourcewhat it proved
2026-10-22huggingface.co/docs/hub/spaces-gpus'Do you have an awesome Space but need help covering the GPU hardware upgrade costs? We love helping out those with an innovative Space so please feel free to apply for a community GPU grant'; 'This application can be found in your Space hardware repo settings in the lower left corner under "sleep time settings"'; 'You can even request a free upgrade if you are building a cool demo for a side project!'; 'Billing on Spaces is based on hardware usage and is computed by the minute'; page 200
2026-10-22huggingface.co/spaces/cicero-im/marimo/discussions/1an open application on a public Space requesting '2,500 GPU hours for model training and evaluation' and '5TB for datasets', which shows the request channel is public and the ask is negotiable rather than fixed (reported: one applicant's request, not an award)
2026-11-03huggingface.co/docs/hub/spaces-gpusthe docs read 'makes the cut'; the record quoted 'will make the cut'
2026-11-03huggingface.co/docs/hub/spaces-gpus1x Nvidia L4 with 24 GB GPU memory is $0.80 an hour
2026-11-03huggingface.co/docs/hub/spaces-gpus1x Nvidia L40S with 48 GB is $1.80 an hour
2026-11-03huggingface.co/docs/hub/spaces-gpusNvidia A100 - large with 80 GB is $2.50 an hour
2026-11-03huggingface.co/docs/hub/spaces-gpusthe H100 row is struck through and marked removed December 2025
2026-11-03huggingface.co/docs/hub/spaces-gpusbilling runs only while the Space is Starting or Running
2026-11-03huggingface.co/docs/hub/spaces-gpusbilling is per minute of running hardware
More fields 1
facets{"class": "community-grant","free_tier_kind": "grant","shape": {"vcpu": null,"ram_gib": null,"gpu_class": null,"gpu_count": 1}}
Unknown values 6
  • egress metered: egress metering was not published
  • egress terms: a source was read and is silent on this field
  • per object cap stated: the field does not apply to this kind of offer
  • reliability note: nothing of this kind was observed
  • retention stated: the field does not apply to this kind of offer
  • tooling: a source was read and is silent on this field