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Google Cloud for Startups provides cloud credits and technical support for AI startups building on Google Cloud infrastructure. The Early Stage Program offers up to $350,000 in cloud credits for VC-backed AI startups up to Series A.
Credits can be used across all Google Cloud services including Vertex AI for machine learning, TPU and GPU compute instances for training and inference, BigQuery for data analytics, and Google Kubernetes Engine. The program also includes technical architecture reviews, dedicated startup support, and access to Google's AI and ML tools.
This is one of the largest cloud credit programs available for AI startups and is a non-dilutive alternative to raising additional capital for compute infrastructure.
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Search similar grants →Based on current listing details, eligibility includes: VC-backed AI startups up to Series A stage. Must have a live product with verified traction. Application requires VC or accelerator introduction. Available globally with focus on US-based startups. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $350,000 in Google Cloud credits for VC-backed AI startups up to Series A. Includes access to Vertex AI, TPU and GPU compute, BigQuery, and the full Google Cloud platform. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Google Cloud's startup program provides substantial cloud computing credits specifically designed for AI and ML companies. The program offers access to cutting-edge GPU and TPU hardware including NVIDIA H100, A3 Ultra instances, and TPU v5e accelerators. Credits can be used for AI model training, inference, data processing, and general cloud infrastructure. The tiered program scales credits based on company stage and backing, making it one of the largest compute credit programs available for AI startups building on foundation models, computer vision, NLP, and other AI applications.
Google Career Launchpad Program is sponsored by Google Cloud in partnership with Thurgood Marshall College Fund (TMCF). The Google Career Launchpad Program is a free 9-week cloud computing training initiative from Google Cloud in partnership with the Thurgood Marshall College Fund (TMCF) that prepares HBCU and PBI students for entry-level tech careers and the Google Cloud Generative AI Leader (GA…
The Google Cloud AI Startup Program is a grant from Google Cloud that funds AI-first startups with up to $350,000 in Google Cloud credits, $12,000 in Enhanced Support credits, free Google Workspace Business Plus for 12 months, and $600 monthly in Google Maps credits. The program is designed for early-stage AI startups at the Scale tier with institutional venture capital or equivalent funding. Eligible applicants must use or plan to use Vertex AI or Gemini as a foundation of their primary product. Verifiable token raises and blockchain foundation grants also qualify. The program provides dedicated support, enablement resources, and access to Google's open AI ecosystem to accelerate startup growth and deployment of AI-powered products.
The LinkedIn Future of Work Fund 2026 is a global philanthropic grant initiative that doubled its commitment to $3 million for 2026 to help nonprofit organizations prepare young people for a rapidly changing labor market shaped by artificial intelligence. Building on the inaugural 2025 round, the fund provides unrestricted grants of $200,000-$300,000 to organizations demonstrating clear approaches to AI literacy and digital skills training, career pathways using AI-enabled tools, and workforce adaptability programs. The fund prioritizes organizations serving young adults aged 18-24 facing structural barriers to employment, with geographic focus on France, Germany, India, United Kingdom, and United States. Selected organizations receive monetary grants plus strategic assistance from LinkedIn's workforce development ecosystem. Applications are reviewed by LinkedIn's Social Impact team along with an external panel of workforce development and AI experts.
The Alibaba Cloud AI Catalyst Program supports AI-focused startups and global AI firms with comprehensive resources including up to $120,000 in lifetime cloud credits, 2 billion free Model Studio tokens for access to Alibaba's generative AI platform, 1:1 Office Hours with AI experts covering products, solutions, and infrastructure, POC coupons, and invitations to Alibaba Cloud events worldwide. The program is designed to help AI startups accelerate their growth with technical, educational, and networking resources. Applications are reviewed within 4-5 business days, and successful applicants are notified via email. The program provides access to Alibaba Cloud's GPU infrastructure including H100s in the Singapore region, making it particularly attractive for APAC-focused AI startups. The promotion period runs from April 1, 2025 through March 31, 2026.
Google.org's $30 million global initiative funding nonprofits, social enterprises, and academic institutions partnering with governments to use generative and agentic AI to transform public services. Focus areas include health (expanding healthcare access through AI-powered service delivery), resilience (enhancing crisis preparedness, response, and recovery), and economy (improving public infrastructure and economic opportunity). Selected organizations receive multi-month Google.org Accelerator programming with dedicated technical support from Google AI experts.