AI Gold Rush: No Need to Buy GPUs or Train Models, You Can Earn $1 Million Monthly Just by Selling Tokens
55 minutes ago
Beating AI Express (Dongcha News) – Menlo Ventures investor Deedy Das has found that some AI startups simply rent computing resources, deploy open-source models including DeepSeek, Kimi, and GLM, and charge fees per token, quickly scaling monthly revenue to $1 million. A large number of such inference service providers have recently emerged, with no need to purchase GPUs or develop models in-house. There remains a sizable price gap in this business model. Per Deedy’s estimates, even if a B300 GPU has an hourly rental cost of up to $8, as long as its processing speed is sufficient and customer orders are robust, it can generate $10–$20 in token revenue per hour. Barriers to entry are also dropping rapidly: some small teams can deploy open-source models on rented GPUs using only AI programming tools. Platforms like OpenRouter and Vercel further help these service providers aggregate customer demand. Deedy notes that nearly dozens of similar companies enter the market every week. The scramble for GPU rentals is driving up computing power prices, while firms keep cutting fees to compete for clients.
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