Up to $350,000 in Google free credits is on the table through the Google for Startups Cloud Program AI Track, plus $12,000 in Enhanced Support credits and $10,000 in partner model credits.
AI startup founders trying to stretch runway, ML engineers building on Vertex AI, and CTOs planning Gemini-heavy products tend to get the most value here. It’s a serious package, but it’s not “click and claim.”
This guide covers AI Track eligibility, the exact signup steps Google requires, what the credits actually cover, and how to avoid the common gotchas that cause delays.
Program at a Glance
| Provider | |
| Credit Amount | Up to $350,000 Cloud + $22,000 extras |
| Duration | 2 years (support: 1 year) |
| Eligibility | Seed–Series A AI-first on Vertex AI/Gemini |
| Credit Card Required? | Yes. Billing account setup required. |
| Difficulty | Advanced. Funding + AI-core proof required. |
| Best For | Vertex AI apps, Gemini APIs, GCP scale-up |
| Official Page | Google Program Page |
What You Actually Get
The AI Track is an “AI Tier” path inside the Google for Startups Cloud Program for teams building on Vertex AI or Gemini. The headline benefit is up to $350,000 in Google Cloud credits over 2 years, structured as 100% coverage of eligible usage up to $250,000 in Year 1, then 20% coverage of eligible usage up to an additional $100,000 in Year 2. You also get $12,000 in Google Cloud Enhanced Support credits (for 1 year), plus $10,000 in partner model credits for LLMs accessed through Vertex AI Model Garden (Anthropic, Fireworks AI, and others listed by Google). Non-credit benefits matter too: a dedicated Startup Success Manager and access to DeepMind mentorship.
In practical terms, Year 1 is the big one because it can wipe out a lot of early infrastructure spend while you’re iterating. Year 2 is a reimbursement-style discount where you still pay most of the bill, so it’s best for teams that expect real revenue or a clear scaling plan. If your product is truly Gemini/Vertex-heavy, this is honestly one of the better startup credit deals out there.
Who Qualifies (and Who Doesn’t)
Google is explicit: this AI Track is for AI-first startups where Vertex AI or Gemini is central to the primary product, not a side experiment. You also need equity funding in the seed to Series A range, and you have to be able to prove it through public sources or investor verification.
- Your company must be an AI-first startup using (or planning to use) Vertex AI or Gemini as a foundation of the product.
- Equity funding is required from seed to Series A, and Series A must be within the last 12 months.
- The company must be under 10 years old, which knocks out a surprising number of “old-but-pivoting” teams.
- You must not have previously received more than $5,000 in Google Cloud credits.
If you’re funded only by angels (with no institutional backing), friends and family, crowdfunding, prizes, or government innovation grants, you typically won’t qualify for Scale/AI tier and may be evaluated for the Start tier instead. Google also excludes IPO’d/acquired companies, educational institutions, government entities, nonprofits, consultancies/agencies/dev shops, personal blogs, crypto mining companies, and projects distributing tokens against regulatory guidance.
How to Sign Up
Plan on about 30 minutes of work, plus a short waiting period for billing setup.
- Create a Google Cloud account at console.cloud.google.com if you don’t have one.
- Set up a Cloud Billing Account in the Google Cloud Console. Navigate to Billing, create a new billing account, and note your 18-character billing account ID (format like ABC123-DEF456-GHI789).
- Wait 48 hours after creating your billing account before applying, because Google needs time to sync the billing ID internally.
- Prepare application materials: your 18-character billing account ID, a business email matching your startup’s website domain (not Gmail), and links documenting equity funding (Crunchbase, press releases, investor announcements). If you’re in stealth, coordinate with your investor so they can verify directly.
- Go to cloud.google.com/startup/apply and complete the application form.
- Select the AI Track and describe how Vertex AI or Gemini is central to your product.
- Submit the application and wait for a response (typically 3–5 business days). New billing accounts may add another week or so; stealth-mode startups can take up to about 2 weeks if funding verification is needed.
- If approved, credits are deposited immediately into your billing account.
Two gotchas cause most delays: your email domain must match your website domain and the email domain on your billing account, and Google auto-populates your billing ID based on the email you provide, so double-check the deposit destination before you hit submit.
What the Credits Cover
The main credits apply to eligible Google Cloud Platform services and also cover Firebase and Vertex AI (including Gemini model API calls). Google also calls out select offerings like Looker as eligible. The key word is “eligible,” because not every SKU is included, and anything outside the coverage bills normally.
| Service / Feature | What It Does | Included? |
|---|---|---|
| Google Cloud (GCP) | Core infra like Compute Engine, GKE, Cloud Run, BigQuery. | ✓ |
| Vertex AI | ML platform, including Gemini model API calls. | ✓ |
| Firebase | App backend services tied to Google’s developer platform. | ✓ |
| Google Cloud Marketplace (3rd-party) | Paid third-party products sold via Marketplace. | ✗ |
Notable exclusions: credits cannot be used for third-party Marketplace services, Google Workspace, Google Maps Platform, or any non–Google Cloud services. Workspace and Maps have separate benefits for new signups (12 months of Business Plus free, and $600/month for 12 months for Maps), but they are not paid from these credits.
Limitations to Know About
Every big credit program comes with fine print. This one is generous, but it’s strict on eligibility and on how the coverage changes in Year 2.
- Year 1 covers 100% of eligible usage only up to $250,000, after which normal billing applies.
- Year 2 is a 20% coverage model up to $100,000, which means you pay the other 80%.
- Credits apply only to eligible service SKUs and are non-cash and non-transferable.
- Third-party Marketplace spend, Google Workspace, and Google Maps Platform are not covered by these credits.
When credits run out (or when the 2-year period ends), your account does not shut down. You transition to standard pay-as-you-go billing and can keep using Google Cloud services at normal pricing. Google also notes that always-free tier services (examples given include Cloud Vision, Speech-to-Text, and Natural Language) continue indefinitely within their monthly limits, so you’re not “cut off,” but you can absolutely get surprised by a bill if you do not set alerts.
Have Unused Google Credits?
It happens: teams get approved for large Google Cloud allocations, then product scope changes, or they migrate, or usage stays lower than expected. Those credits still have a clock on them, and once the program period ends they expire. If you’re sitting on surplus, AI Credit Mart lets you sell unused credits (often up to about 70% of face value) instead of watching them turn into nothing.
Need More Google Credits?
Once your free allocation is gone, paying full retail can get painful fast, especially for inference-heavy workloads. AI Credit Mart lists discounted Google credits from organizations with surplus allocations, and discounts typically land around 30–70% below retail. If you’re budgeting for Year 2’s 80% out-of-pocket reality, buying discounted credits can soften the jump.
Tips for Getting the Most Out of Your Credits
- Get a VC or accelerator referral if you can, because Google says partner recommendations significantly improve AI Track approval odds.
- Bring a simple one-pager that covers the problem, solution, traction/metrics, forecasted cloud spend, and a reference architecture on Google Cloud.
- Be blunt about Vertex AI or Gemini usage, and explain why it’s core to your product rather than a “nice-to-have” feature.
- Match your domains across website, email, and billing account before applying, because mismatches are a common rejection or delay reason.
- Set budget alerts after approval since Google Cloud has no automatic spending caps and overages bill at standard rates.
Frequently Asked Questions
Up to $350,000 in Google Cloud credits over 2 years, structured as up to $250,000 of 100% coverage in Year 1 and 20% coverage up to an additional $100,000 in Year 2, plus $12,000 in Enhanced Support credits and $10,000 in partner model credits. The “worth” depends on how much of your spend is eligible and how much lands in Year 1 versus Year 2. If you’re building on Vertex AI (Gemini API calls included) and also running typical GCP infrastructure (Compute Engine, GKE, Cloud Run, BigQuery), you can burn through meaningful budget without paying cash early on. Year 2 won’t fully cover bills, so plan for real out-of-pocket spend. Treat it like runway extension, not free infinite cloud.
Yes. You must set up a Google Cloud Billing Account before you apply.
The AI Track credits run for 2 years, and the Enhanced Support credits last 1 year.
Yes. If you have Google credits you won’t use before they expire, you can list them on AI Credit Mart and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.
AI Credit Mart has discounted Google credits available from companies with surplus allocations. Prices are typically 30-70% below retail.
After the 2-year program period, all program credits expire and you transition to standard pay-as-you-go billing. Always-free tier services continue within their monthly limits, but anything beyond that bills normally, so set billing alerts well before the end date.
Accepted funding includes institutional equity (VC), SAFE agreements, convertible notes, and verifiable token raises or blockchain foundation grants. Private equity, government innovation grants, prizes, crowdfunding, angels only (without institutional backing), and friends-and-family funding aren’t accepted for the Scale/AI tier and may push you toward the Start tier evaluation.
Expect a decision in about 3–5 business days after you submit, but new billing accounts can add another week or so and stealth funding verification can take up to about 2 weeks. If you’re approved, credits are deposited immediately into your billing account.
If Vertex AI or Gemini is truly core to what you’re building, this program can cover a huge chunk of your first two years of cloud spend. Apply early, line up your domains and funding proof, and set billing alerts so the credits don’t end with an ugly surprise.
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