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The Alibaba Cloud AI Catalyst Program provides APAC-focused AI startups with up to $120,000 in lifetime cloud credits for GPU compute, AI model training, inference, and general cloud infrastructure. As the largest cloud provider in the Asia-Pacific region, Alibaba Cloud offers access to GPU instances and a comprehensive AI development platform including model serving, data processing, and deployment tools.
The program is designed for startups building AI-native products across Southeast Asia, Greater China, India, Japan, Korea, Australia, and other APAC markets. Credits can be applied to compute instances, storage, networking, AI/ML services, and database products. Beyond credits, participants gain access to Alibaba Cloud's startup ecosystem, technical mentorship, and potential go-to-market support across APAC markets.
This program fills a geographic gap left by Western cloud providers' startup programs, offering localized support and infrastructure optimized for APAC workloads and compliance requirements.
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Or search similar grants →According to the current listing, eligibility includes: APAC-focused startups at early to growth stages. Must be building technology products with an AI or cloud-native focus. Applications accepted on a rolling basis through Alibaba Cloud's startup portal. No specific revenue or funding stage requirements published. Confirm the full requirements in the official notice before applying.
The current listing shows up to $120,000 in lifetime cloud credits. Includes access to GPU instances, AI model serving infrastructure, and Alibaba Cloud's full suite of cloud services. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Alibaba Cloud AI Catalyst Program for APAC AI Startups is funded by Alibaba Cloud. Verify program details on the funder's official page before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
OpenAI's AI and Teen Development Research Grant Program makes up to 5,000,000 US dollars available in grants of up to 1,000,000 dollars for independent research on how AI affects adolescent development and wellbeing. Applications opened 8 September 2026 at 8:00 AM PDT and close 6 October 2026 at 11:59 PM PST, with notifications by 13 November 2026, and submission is through the SurveyMonkey Apply platform. The published scope has four strands: teen usage patterns and developmental outcomes; AI's potential effects on young people's lives; the factors that cause those effects to differ across populations and contexts; and design interventions and safety mechanisms. The inclusion of the fourth strand is what separates this from a pure effects-measurement programme, since it invites work that proposes and tests product-level safeguards rather than only documenting harm or benefit. The third strand is equally notable: OpenAI is asking specifically about heterogeneity of effect, which is an implicit acknowledgement that aggregate findings about teen AI use have limited policy value. Review is rolling and conducted by internal researchers and outside experts. Non-profit applicants are preferred and for-profit organisations are explicitly not prioritised, and indirect costs are capped at 10 percent of the grant, both of which shape who can realistically compete.
The Citi Foundation's 2026 Global Innovation Challenge commits 25,000,000 US dollars in grants of 500,000 dollars each to up to 50 nonprofit organisations, and AI is core to the challenge rather than one theme among many: the call is framed around economic opportunity in an economy increasingly shaped by AI. Three focus areas are published. The first is cultivating AI skills alongside human-centric competencies, a pairing that signals the Foundation is not funding tool training in isolation. The second is expanding digital access through community hubs offering shared devices and open-source AI tools, which is a deliberate bet on shared rather than individual access infrastructure. The third is building NGO capacity by integrating AI into youth employability programmes, meaning the grantee's own operating model is in scope, not only its services. Geographic reach is approximately 70 countries where Citi operates across Africa, Asia Pacific, Europe, the Middle East, Latin America, the Caribbean and North America, but US applicants are restricted to 12 states plus the District of Columbia and Puerto Rico, which makes this substantially more open to international applicants than to most US ones. The process begins with a letter of inquiry due 6 October 2026 at 12:00 pm ET, one per organisation and in English only; organisations advancing to Round 2 must supply externally audited financials from 2024 or later.
The 2026 Physical AI Awards, launched by Nebius with NVIDIA in late September 2026, recognise startups building physical AI and award each of five category winners 150,000 US dollars in Nebius compute credits. The five categories are Physical AI Models, Perception and Spatial Intelligence, Simulation and Synthetic Data, Systems and Deployment, and Software, Tooling and Orchestration, which together map the physical AI stack from foundation models through to the orchestration layer and make clear that the programme is not limited to robot manufacturers. A simulation or synthetic data company with no hardware of its own competes in its own category rather than against humanoid robotics teams, which materially changes the odds for infrastructure and tooling startups that would be overshadowed in an undifferentiated competition. Eligibility is framed around commercial traction rather than research novelty: applicants need a clear physical AI use case, a minimum viable product in active use or testing, a registered legal entity and a live public website. There is no stated geographic restriction, making this one of the few genuinely global compute awards in the robotics and embodied AI space. Applications close 25 October 2026, with finalists and winners announced in mid-November 2026, a fast cycle by the standards of grant funding. Each application covers one product, and companies with several products may apply to multiple categories, though the organisers advise concentrating on the strongest product in the most relevant category.
NVIDIA committed $250 million over five years to UK agentic safety and security research, delivered as compute access through UK-based Cloud Partners. No open call, no cash, and the commercial terms are not yet agreed. A breakdown of compute-as-grant and how to budget for it.
Read articleNSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
Read articleMost AI researchers are leaving free compute on the table. This guide covers every active GPU credit and compute allocation program in 2026 — NAIRR, NSF ACCESS, DOE exascale, NVIDIA, and cloud provider grants — with current deadlines and eligibility.
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