How to Overcome Repeated AWS Activate Rejections Despite Meets All Criteria

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If you’re trying to get NVIDIA Inception credits and facing repeated rejections, you’re not alone. Many startups struggle with proving GPU usage and demonstrating tech adoption on AWS, even when they’ve spent significant amounts on GPU instances.

First, gather all your proof of spending. For example, if you’ve used AWS credits, gather reports showing the total amount used—such as $20K or more. Make sure to include screenshots, billing reports, and invoices that clearly display the expenses related to GPU instances. If any of the costs were paid out of pocket, note those as well, since they count towards your overall GPU usage.

Next, compile detailed records of your GPU usage over time. For instance, highlight months where you spent large sums, like thousands of dollars in November or December, and include any direct purchases, such as specific reservation blocks like p5.4xlarge instances. Show that your team is actively using NVIDIA technology by providing logs, screenshots from your training platforms, or links to your work demonstrating GPU-powered AI model development.

When sending your application or appeal, include all relevant documentation. For example, attach invoices, billing summaries, and proof of SDK or API usage on AWS. Don’t forget to mention any usage outside AWS, like training models on other platforms, but clarify that your main GPU-intensive work is on AWS with NVIDIA hardware.

Be explicit about how you used the GPU resources. For example, specify that in November, you dedicated over $11,000 in credits to GPU instances, and in other months, your spendings show ongoing usage. Including visual evidence, like screenshots showing GPU usage details, can help reinforce your case.

Finally, reference your technical work that aligns with NVIDIA’s technology adoption requirements. For example, share a blog post or project—like your AI training journal—that demonstrates your team’s engagement with NVIDIA SDKs and APIs.

By thoroughly compiling and presenting this cumulative evidence, you improve your chances of clearing the verification process. Remember, demonstrating consistent GPU use and active development with NVIDIA technology is key. Keep your documentation clear, complete, and organized, and continue advocating your progress with solid proof.