Running AI models is extremely expensive. If you want to offer it to the public, you have to plan capacity very accurately, otherwise, either the quality will suffer or you will bleed too much money, too early.
Take OpenAI for example, even with their enormous popularity, I believe they are still making huge losses. The only way they can survive (right now) is with the huge financial injection from Microsoft. Besides, you can run your AI models on GCP or AWS and other providers easily, no need to invest locally. For a pay-on-hours tariff, it’ll be affordable for experiments. Huggingface is yes taking care of all the “logistics” for you already.
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Running AI models is extremely expensive. If you want to offer it to the public, you have to plan capacity very accurately, otherwise, either the quality will suffer or you will bleed too much money, too early.
Take OpenAI for example, even with their enormous popularity, I believe they are still making huge losses. The only way they can survive (right now) is with the huge financial injection from Microsoft. Besides, you can run your AI models on GCP or AWS and other providers easily, no need to invest locally. For a pay-on-hours tariff, it’ll be affordable for experiments. Huggingface is yes taking care of all the “logistics” for you already.
We make private versions of the models and serve them at scale cheap as we have loads of fast chip access when the market has run out.
Had a record month
It’s known as an open core business model
https://twitter.com/emostaque/status/1649152422634221593?s=4...