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- A recent attempt to fully map a mere cubic millimeter of a human brain took up 1.4 petabytes of storage just in pictures of the specimen
- We did the back-of-napkin math on what ramping up this experiment to the entire brain would cost, and the scale is impossibly large — 1.6 zettabytes of storage costing $50 billion and spanning 140 acres, making it the largest data center on the planet.
- The cubic millimeter of brain matter is only one-millionth of the size of an adult human brain, and yet the imaging scans and full map of its intricacies comprises 1.4 petabytes, or 1.4 million gigabytes. If someone were to utilize the Google/Harvard approach to mapping an entire human brain today, the scans would fill up 1.6 zettabytes of storage.
- Taking these logistics further, storing 1.6 zettabytes on the cheapest consumer hard drives (assuming $0.03 per GB) would cost a cool $48 billion, and that's without any redundancy. The $48 billion price tag does not factor in the cost of server hardware to put the drives in, networking, cooling, power, and a roof to put over this prospective data center. The roof in question will also have to be massive; assuming full server racks holding 1.8 PB, the array of racks needed to store the full imaging of a human brain would cover over 140 acres if smushed together as tightly as possible. This footprint alone, without any infrastructure, would make Google the owner of one of the top 10 largest data centers in the world, even approaching (if not reaching) the scale of Microsoft and OpenAI's planned $100 billion AI data center.
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Google AI: New insights from 6 images of the human brain
- this small sample — one-millionth of the total human brain and about 3 mm long — requires more than a million Gigabytes of data: 1.4 Petabytes. This is the largest dataset ever made of human brain structure at this resolution.
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Shak.blog.notes 05/14/2024
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