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@ionet
The intelligent stack for powering AI workloads | decentralized GPUs | io.intelligence: inference & agents |
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It's only May, and @Uber has already burned through its entire AI budget for the year.
With costs as high as $2,000 per engineer per month, it's easy to understand why.
And they aren't alone.
Less than 1% of executives report 20%+ ROI from AI.
Overpriced infrastructure, soaring token usage, and runaway costs make AI almost unaffordable, even for the largest companies.
But you don't need an enterprise budget to build with AI. You need affordable compute and leading open-source models.
That's exactly what @ionet delivers.
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