Quantitative analysis of AI infrastructure—for the founders and operators building it and the investors funding it.
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| Issues | 93 | Founded | 4 years ago | Last Issue | 6 days ago |
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datagravity.devLatest Issues
How Long Does a GPU Last?
In brief
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The hardware lasts longer than either side of the depreciation debate assumes. The operators have the fleet data.
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A GPU’s earning power is front-loaded in a way no hyperscaler’s depreciation schedule reflects.
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Hypers...
The 10 Companies AI Can't Scale Without
In brief
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Two kinds of chokepoints: technology monopolies and capacity monopolies. ASML owns the first kind. Blackstone has assembled the largest position in the second. None of the ten can be routed around inside 24 months.
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Growth...
How the GPU Became Collateral
Bottom line
GPU debt went from ~14% private credit in 2023 to A3 / SOFR+225 in 2026. More than $20B of GPU-backed facilities have been announced.
The market learned that the real collateral is contracted cash flow. Cor...
How Much Does an NVIDIA NVL72 Cost?
The NVL72 has become one of the basic units of account for Blackwell-scale AI infrastructure — capacity deals, neocloud debt, and NVIDIA revenue models are increasingly denominated in racks. Yet the most-quoted number, “a $3 million rack,”...
Why the Best GPU Doesn't Always Win
No architecture is cheapest everywhere: cost per million tokens against tokens per second per user, with measured crossover points between architectures
In February, AMD’s MI355X served Qwen3.5 at 192 tokens per second per GPU. In M...
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