The Startup's Guide to $100K+ in AWS, Azure, and Google Cloud Credits

Cloud credits are one of the most underused levers for extending startup runway, and one of the most poorly navigated — we regularly meet founders who left tens of thousands of dollars in available credits unclaimed simply because the application processes are scattered across three different portals with three different qualification criteria. Here's the current state of all three major programs, and how we help clients actually claim them as part of our cloud funding and credits practice.

AWS Activate

AWS's startup program is tiered by how you access it:

• Self-service tier: Available directly to early-stage founders, typically covering a smaller initial credit amount.
• Portfolio tier: Available through qualifying VC firms, accelerators, and startup organizations — usually the path to larger credit amounts (often $10,000-$100,000+ depending on the partner program).
• What it covers: Most AWS services, plus access to AWS Activate Console benefits like technical support credits and training.

The key qualification lever is often your accelerator or VC relationship — if you've raised from a firm with an AWS partnership, your credit ceiling is usually significantly higher than applying independently.

Microsoft for Startups Founders Hub

Microsoft's program is notable for bundling Azure credits with OpenAI API access through Azure OpenAI Service, which matters if your product roadmap includes AI features — see our Azure OpenAI Service guide for what that access unlocks technically. Credit tiers scale with funding stage, with qualifying startups able to access credits up to $150,000, plus GitHub Enterprise and LinkedIn Sales Navigator benefits bundled in.

Google Cloud for Startups

Google's program has two tiers: the standard tier for early-stage startups, and the Scale tier for later-stage, Series A+ companies with more significant credit amounts — reportedly up to $200,000 for qualifying Scale participants. Google Cloud credits also apply to Vertex AI / Gemini Enterprise usage, relevant if you're evaluating providers per our foundation model comparison.

The Real-World Strategy: Multi-Cloud Credit Stacking

There's no rule against applying to more than one program. We've helped clients run a deliberate multi-cloud credit strategy — for example, using AWS credits for core production infrastructure while using Azure credits specifically for LLM API costs, extending total runway further than committing everything to one provider. This does add operational complexity (see our multi-cloud cost allocation guide for how to keep that manageable), but for early-stage companies the extended runway is usually worth it.

The Mistake That Costs the Most: No Exit Plan

The single most expensive mistake we see is startups architecting entirely around "free" credits with no plan for when they expire — typically 1-2 years depending on the program. Teams that don't build cost discipline in from day one get a painful surprise when the invoice suddenly reflects full retail pricing. We recommend implementing FinOps practices (see our FinOps framework guide) well before credits run out, not after the first real invoice arrives.

How We Help

Our Cloud Funding & Credits service tracks current program terms across AWS, Azure, and Google Cloud (these change frequently) and helps clients package the application materials that actually get approved — technical architecture summary, funding stage documentation, and the accelerator/VC relationship that unlocks higher tiers. Get in touch if you're raising or have recently closed a round and haven't claimed your credits yet.

Frequently Asked Questions

How much in free cloud credits can a startup actually get?

Depending on stage and VC/accelerator affiliation: AWS Activate typically $1,000-$100,000+, Microsoft for Startups up to $150,000, Google Cloud for Startups up to $200,000 for later-stage companies.

Can we apply to all three cloud providers at once?

Yes — the programs are independent with no exclusivity requirement. Many startups run a multi-cloud credit strategy across different workloads.

What happens when the credits run out?

This is the most common startup cloud mistake — architecting for "free" without a cost-optimization plan. Building FinOps discipline in early prevents a runway shock.