AWS Activate vs Google Cloud for Startups (2026)
Cloud & infra
AWS Activate
Up to $100k
Up to $100k in AWS credits, 2 years of AWS Business Support, technical office hours, and the full AWS Activate Console.
See AWS Activate →
Cloud & infra
Google Cloud for Startups
Up to $200k
Up to $200k in Google Cloud credits over 2 years (Start Tier: $2k; Scale Tier: $200k) plus enhanced support and free TechCheck advisory.
See Google Cloud for Startups →How to choose
Cloud credits are the single largest non-payroll line founders can cut at pre-seed. The two biggest programs — AWS Activate and Google Cloud for Startups — both top out in the six-figure range, but neither hands you the headline number unless you have the right investor or accelerator signal attached.
The practical question isn't "which is bigger" — Google Cloud's Scale Tier wins on paper at $200k. It's "which one will you actually qualify for, and which one fits the workloads you're running today." AWS still dominates on third-party tooling and AI/ML inference; Google Cloud's BigQuery, Vertex AI, and Looker stack is the better fit if your product is data- or model-heavy. The choice usually comes down to your tech stack rather than the credit ceiling.
Side-by-side
| Feature | AWS Activate | Google Cloud for Startups |
|---|---|---|
| Top-tier credit ceiling | $100k | $200k |
| Entry-tier credit | $1k | $2k |
| Credit window | 2 years | 2 years |
| Top-tier eligibility | Affiliated VC, accelerator, or incubator | Series A or affiliated VC/accelerator |
| Application latency | Fast (days, days) | Slower (weeks, especially Scale Tier) |
| Best for | Mainstream SaaS, e-commerce, AI on Bedrock | AI/ML, data warehousing, GCP-native stacks |
| Bonus included | AWS Activate Console + technical office hours + Business Support included at top tier | Enhanced support + free TechCheck advisory at Scale Tier |
Pick AWS Activate if…
Founders running standard SaaS workloads who already know AWS, or who plan to use Bedrock / SageMaker / DynamoDB at scale.
Pick Google Cloud for Startups if…
AI/ML-first products, data-heavy analytics startups, or any team where Vertex AI / BigQuery is the architectural backbone.
Bottom line
Apply to both. They're not mutually exclusive and the application takes 15 minutes each. Pick whichever approves first for primary workloads, keep the other as backup credit for batch jobs.
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