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Founder's Pitch
"For SMEs worried about cloud costs and data privacy, this paper shows how consumer GPUs like the RTX 5090 can slash LLM inference costs by up to 200x compared to cloud APIs, with a break-even in under 4 months at moderate usage."
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Breakdown pending for this paper.
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arXiv Paper
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Why It Matters
Cloud APIs are like renting a car every day—it gets expensive fast. Using your own GPU is like buying a car; it's cheaper in the long run.
Product Angle
'Your own AI server for less than your monthly coffee budget.'
Disruption
Paying high fees for cloud-based AI services. This makes AI affordable and private for small businesses.
Product Opportunity
SMEs can save thousands annually by switching from cloud to local inference, with hardware costs recouped in just a few months.
Use Case Idea
A plug-and-play box for small businesses to run their AI models without sending data to the cloud.
Science
Consumer GPUs like the RTX 5090 can handle big language models locally, cutting costs to $0.001 per million tokens. That's 200 times cheaper than using cloud services.
Method & Eval
Tested with four models across 79 configurations, showing 3.5–4.6x better performance on RTX 5090 compared to lower-tier GPUs.
Caveats
Long-context tasks still need high-end GPUs, and setup requires some technical know-how.