Free GPU Credits for Startups
GPU prices have fallen, but A100 80 GB time is still money. The fastest way to extend runway use free-credit programs, starting with quick wins (no funding needed) and graduating to hyperscaler bundles when you raise.
Below are the ten richest offers live today. All amounts are “up to” and subject to each provider's terms.
| Provider | Program | Headline credit | Key eligibility | GPU angle |
|---|---|---|---|---|
| Thunder Compute | Student Credits | $20 for students | Students | Instant, zero-cost access to high-compute instances for AI/ML. |
| Thunder Compute | Referral Program | Get 3% of all referrals | Anyone | Earn recurring credit or payouts while promoting scalable GPU infrastructure. |
| Google Cloud | Early Stage Program | $350K in Cloud credits | VC-backed AI startups up to Series A | Use credits on H100, A3 Ultra, TPU v5e |
| AWS | Startup Credits | $100K | Accelerator/VC intro & ≤Series B | Covers P5/H100 and G6e/RTX 4090 |
| Microsoft | Startups Founders | $150K | Product live + verified traction (no funding required) | ND A100 at $3.67/hr plus Azure ML |
| DigitalOcean | Startup Launchpad | $100K + 3 mo free 8×H100 droplet | Pre-seed–Series A; incubator or direct | Simpler UI than hyperscalers, K8s GPU add-on |
| Modal | Free Tier | $30/month free credit | Anyone (free tier), teams for paid plans | Fast serverless GPU execution. Costs ramp up quickly; A100 $2.50/hr |
| Kaggle | Notebooks (Free GPUs) | Free (usage-limited) | Anyone | Free T4/P100 access with strict session limits. Public by default. |
| Paperspace | Gradient Free Tier | Free (limited usage) | Anyone (credit card required) | Limited GPU hours; notebooks are public by default, not suitable for sensitive workloads |
| Alibaba Cloud | AI Catalyst Program | $120K lifetime | APAC-focused startups | Cheapest H100s in Singapore region |
| OVHcloud | Startup Program | €100K | EU tech scaleups | EU-sovereign A100 & L40S at low latency |
| Scaleway | Startup Program | €36K | EU early-stage | H100 & Mac Mini GPU-ready regions |
Stacking Free GPU Cloud Credits
- Start day-zero – students can activate Thunder Compute's $20 student credit to validate on cheap A100s.
- Layer indie perks – grab DigitalOcean Hatch for extra H100 test time.
- Scale with hyperscalers – once funded, pull in Google ($350K) + AWS ($100K) to cover peak training bursts.
- Stay portable – snapshot to S3-compatible storage, then restore on a low-cost provider like Thunder Compute when credits expire.
- Use serverless selectively – platforms like Modal are great for bursty inference, but not cost-efficient for long training runs.
- Prototype for free – use free tiers and credits for early experimentation before touching paid credits.
Pro tip: mixing credits typically lets a 5-person ML team run continuous A100/H100 training for 9-12 months with <5 % out-of-pocket spend. Learn other strategies to cut GPU costs for development.
Conclusion: Maximizing Your Compute Runway
Funding your startup's compute infrastructure shouldn't break your budget. By stacking free cloud GPU credits, a machine learning team can subsidize up to a year of intense model training and inference.
The key to credit stacking is portability. Always build your architecture using containerized workflows and S3-compatible storage. In doing so, you ensure you can migrate your workloads between providers while avoiding lock-in.
When you exhaust promotional credits, you'll need a sustainable long-term compute strategy. Discover how GPU providers work in our guide on what is GPU-as-a-Service.
FAQ
How to get free GPU credits?
You can obtain free GPU credits by applying to startup accelerators like Google for Startups Cloud or Microsoft for Startups Founders Hub. Students can also claim $20 of Thunder Compute credit with a verified student email.
Which cloud GPU credit program offers the most money in 2026?
Google for Startups Cloud (AI Tier) offers the highest credit amount at up to $350,000 for VC-backed AI startups up to Series A. These credits can be used on H100, A3 Ultra, and TPU v5e instances.
Can I get free GPU credits without venture capital funding?
Yes, several programs don't require funding. Thunder Compute offers $20 in credit for students with a verified .edu email. Microsoft for Startups Founders Hub provides up to $150,000 in credits if you have a live product with verified traction.
How long can free GPU credits last for a small ML team?
By stacking multiple credit programs, a 5-person ML team can typically run continuous A100/H100 training for 9-12 months with less than 5% out-of-pocket spending.
What is the best strategy for maximizing free cloud GPU credits?
Start with low-friction options like DigitalOcean Hatch for early H100 testing.
Activate hyperscaler programs (Google/AWS) once funded for peak training bursts.
Keep work portable using S3-compatible storage so steady-state workloads can shift to low-cost providers like Thunder Compute as credits expire.
Which GPU credit programs are available for European startups?
European startups have access to OVHcloud Startup Program (€100,000) with EU-sovereign A100/L40S instances, and Scaleway Startup Program (€36,000) with H100 access.
What is the cheapest way to access A100 80GB GPUs with free credits?
Thunder Compute offers A100 80GB access at $0.78 per hour with per-minute billing, plus $20 in credit for students with a verified .edu email. Snapshots and live spec changes are included.