{"rid":"compute/nvidia-academic-grant","card":{"rid":"compute/nvidia-academic-grant","eid":"nvidia","topic":"compute","slug":"nvidia-academic-grant","provider":"NVIDIA Academic Grant","url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","domain":"nvidia.com","category":"GPU cloud","tier":null,"verdict":"fails-identity","vorder":4,"grp":"rejected","confidence":"documented","binding":"write-gated","identity_kind":"institution","identity_basis":"stated","needs_card":0,"needs_phone":0,"needs_id":0,"needs_institution":1,"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":4,"usd_month":null,"usd_per_tb_month":null,"summary":"'Up to 30,000 NVIDIA H100 80 GB hours or equivalent (max. of eight concurrent GPUs)' plus 'Up to two NVIDIA DGX Spark'. 'GPU hours provided to the PI will ex...","duplicate_of":null,"n_unknown":10},"record":{"topic":"compute","slug":"nvidia-academic-grant","provider":"NVIDIA Academic Grant","url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","category":"GPU cloud","free_tier":{"stated":"'Up to 30,000 NVIDIA H100 80 GB hours or equivalent (max. of eight concurrent GPUs)' plus 'Up to two NVIDIA DGX Spark'. 'GPU hours provided to the PI will expire six months after the award; unused GPU hours will be forfeited.' Eligibility: 'Must be a full-time faculty member at an accredited academic institution that awards research degrees to PhD students.' The vendor page now states 'While our Academic Grant Program is currently not accepting new applications'.","unit":"hours","metered_on":"wall-clock","source_url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","read_on":"2026-10-22","notes":"one-time-credit"},"per_object_cap":{"stated":"not applicable","bytes":null,"source_url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","notes":null},"retention":{"stated":"not applicable","days":null,"source_url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","notes":null},"egress":{"terms":"not stated","metered":false,"free_allowance":null,"price_per_tb":null,"source_url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/"},"interface":["unknown"],"interface_detail":"inferred from the tooling the provider documents; not probed","tooling":"not stated","chaining":"The DGX Spark is shipped hardware rather than a hosted slice, so it does not compose with a cloud allowance; the H100 hours are consumed on NVIDIA's side and cannot be redirected to another vendor.","limits":[{"kind":"write-gated","value":"a four-page proposal reviewed by an awards panel, gated on full-time faculty status at a PhD-granting institution, so an unaffiliated applicant fails before the proposal is read.","source":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/"}],"limits_note":"a four-page proposal reviewed by an awards panel, gated on full-time faculty status at a PhD-granting institution, so an unaffiliated applicant fails before the proposal is read.","binding":"write-gated","binding_note":"a four-page proposal reviewed by an awards panel, gated on full-time faculty status at a PhD-granting institution, so an unaffiliated applicant fails before the proposal is read.","identity_cost":{"kind":"institution","detail":null,"country":null},"reliability_note":"no reliability event recorded","confidence":"documented","evidence":[{"url":"https://dam-cdn.nvd.orangelogic.com/AssetLink/drvk2c5agrv0s0myqncgl63l4f8lc550.pdf","date":"2026-10-22","proved":"the AI Inference, Agents, and Systems Software call for proposals: 'Up to 30,000 H100 80 GB hours or equivalent (max. of eight concurrent GPUs)', 'GPU hours provided to the PI will expire six months after the award', 'Full-time faculty at accredited academic institutions that award research degrees to Ph.D. students are eligible. Postdocs and graduate students must work with a full-time faculty member to submit on their behalf', quoted; PDF 4 pages, 200"},{"url":"https://www.nvidia.com/en-us/industries/higher-education-research/academic-grant-program/","date":"2026-10-22","proved":"'While our Academic Grant Program is currently not accepting new applications, we remain committed to supporting the research community', quoted; and the requirements block repeats the full-time faculty condition"},{"url":"https://academicgrants.nvidia.com/academicgrantprogram/s/application-decision","date":"2026-10-22","proved":"the program's own portal page is titled 'Application Halted' and reads 'The NVIDIA Academic Grant Program is not accepting new applications at this time.', per search snippet"},{"url":"https://forums.developer.nvidia.com/t/academic-research-grant-portal-closed-early/374990","date":"2026-06-30","proved":"an NVIDIA staff reply on the developer forum: 'I just checked with the team, and unfortunately we are currently not accepting new applications', after a submitter found the 30 June 2026 portal closed at 09:50 EDT"}],"verdict":"fails-identity","verified_at":"2026-10-22T00:00:00.000Z","notes":"Two failure modes stacked, and the corpus should record both because they decay differently. The permanent one is the faculty gate: postdocs and graduate students must route through a full-time faculty member, and there is no independent-researcher lane. The transient one is the closed portal: the vendor page says not accepting, a third-party portal page says 'Application Halted', and a June 2026 forum thread shows the 30 June round closing early. Worth re-checking each quarter rather than marking dead, because NVIDIA has run this as a rolling quarterly call and an award is USD-equivalent to roughly 30,000 H100-hours. A second variant circulates through university research offices quoting '32,000 A100 40GB hours' and 'one DGX Spark' for other interest areas, which is the same program with a different resource line per call for proposals.","extras":{"wave2":{"class":"research-credit","free_tier_kind":"one-time-credit","shape":{"vcpu":null,"ram_gib":null,"gpu_class":"H100 80GB","gpu_count":8}}}},"claims":[{"path":"$.free_tier.stated","kind":"free-quota","num":80,"unit":"GB","per":null,"currency":null,"usd":null,"fx_date":null,"parse":"ok"},{"path":"$.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":[]}