{"rid":"compute/fal-research-grants","card":{"rid":"compute/fal-research-grants","eid":"fal","topic":"compute","slug":"fal-research-grants","provider":"fal Research Grants","url":"https://fal.ai/grants","domain":"fal.ai","category":"GPU cloud","tier":null,"verdict":"qualifies-with-caveat","vorder":1,"grp":"usable","confidence":"documented","binding":"write-gated","identity_kind":"email","identity_basis":"stated","needs_card":0,"needs_phone":0,"needs_id":0,"needs_institution":0,"country":null,"crypto":null,"interfaces":null,"egress_metered":null,"per_object_bytes":null,"retention_days":null,"verified_at":"2026-10-22T00:00:00.000Z","verified_basis":"live","checked_on":"2026-10-22","stale_on":"2026-11-21","n_evidence":2,"usd_month":null,"usd_per_tb_month":null,"summary":"Free compute on fal's inference platform. The eligibility sentence is the most open found in this class, quoted: 'The fal Research Grants program is open to ...","duplicate_of":null,"n_unknown":10},"record":{"topic":"compute","slug":"fal-research-grants","provider":"fal Research Grants","url":"https://fal.ai/grants","category":"GPU cloud","free_tier":{"stated":"Free compute on fal's inference platform. The eligibility sentence is the most open found in this class, quoted: 'The fal Research Grants program is open to anyone passionate about advancing AI through open source projects. No formal degree is required - your ideas and dedication are what matter most.' The amount is not published anywhere on the page. The route is an email to grants@fal.ai with a project description, goals, and 'any relevant work or GitHub repositories'.","unit":"none","metered_on":"wall-clock","source_url":"https://fal.ai/grants","read_on":"2026-10-22","notes":"one-time-credit"},"per_object_cap":{"stated":"not applicable","bytes":null,"source_url":"https://fal.ai/grants","notes":null},"retention":{"stated":"not applicable","days":null,"source_url":"https://fal.ai/grants","notes":null},"egress":{"terms":"not stated","metered":false,"free_allowance":null,"price_per_tb":null,"source_url":"https://fal.ai/grants"},"interface":["unknown"],"interface_detail":"inferred from the tooling the provider documents; not probed","tooling":"not stated","chaining":"The grant is platform credit, so it composes only with fal's own models; it is a supplement for an inference-heavy step, not a training allowance.","limits":[{"kind":"write-gated","value":"the award has no published amount, cap, duration or expiry, so the only thing bounding it is a discretionary reply to an email.","source":"https://fal.ai/grants"}],"limits_note":"the award has no published amount, cap, duration or expiry, so the only thing bounding it is a discretionary reply to an email.","binding":"write-gated","binding_note":"the award has no published amount, cap, duration or expiry, so the only thing bounding it is a discretionary reply to an email.","identity_cost":{"kind":"email","detail":null,"country":null},"reliability_note":"no reliability event recorded","confidence":"documented","evidence":[{"url":"https://fal.ai/grants","date":"2026-10-22","proved":"'open to anyone passionate about advancing AI through open source projects'; No formal degree is required'; 'simply reach out to us at grants@fal.ai'; quoted; page 200"},{"url":"https://fal.ai/grants","date":"2026-10-22","proved":"the page publishes no amount, no duration and no expiry; the only evidence of awards is two named testimonials (Vik Korrapati for Moondream, Peng Zheng for BiRefNet), which show the program paid out to identifiable people but carry no figure"}],"verdict":"qualifies-with-caveat","verified_at":"2026-10-22T00:00:00.000Z","notes":"Recorded for the door rather than the number, and it is honest to say so: no figure exists on the page, so the finding cannot rank against Lambda or TRC. What makes it worth a line is the explicit removal of the degree requirement in a class where nearly every other program gates on it, plus the fact that the application is an email rather than a form. The named testimonials are the only proof it pays out. Whether the credits are GPU-seconds on fal's inference endpoints or spend on the platform is not stated, and that distinction decides whether a training run is possible at all - it probably is not, which is the caveat.","extras":{"wave2":{"class":"research-credit","free_tier_kind":"one-time-credit","shape":{"vcpu":null,"ram_gib":null,"gpu_class":null,"gpu_count":null}}}},"claims":[{"path":"$.free_tier.stated","kind":"free-quota","num":null,"unit":null,"per":null,"currency":null,"usd":null,"fx_date":null,"parse":"unparsed"},{"path":"$.limits[0].value","kind":"limit:write-gated","num":null,"unit":null,"per":null,"currency":null,"usd":null,"fx_date":null,"parse":"unparsed"}],"unknown":[["$.egress.metered","egress-unknown"],["$.egress.terms","not-stated"],["$.identity_cost.detail","process"],["$.interface","interface-unknown"],["$.per_object_cap.notes","process"],["$.per_object_cap.stated","not-applicable"],["$.reliability_note","none-observed"],["$.retention.notes","process"],["$.retention.stated","not-applicable"],["$.tooling","not-stated"]],"history":[],"drift":[]}