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Back to Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI, with Amin Vahdat.

How Does Google Get a Gigawatt of Power?

Amin Vahdat says Google's preferred model for a new data center is to stay connected to a utility, even when the site needs a gigawatt of power. A gigawatt is not a request for tomorrow followed by a question about when billing starts. Google co-plans with the utility and gives many years of notice.

Google covers the cost of transmission lines that must be built or upgraded and of additional utility base stations. The reason is billing: if the utility builds capacity for Google, other people's rates could go up. Planning can still leave a gap. In a made-up example, Google needs a gigawatt in 2028, the utility can supply a gigawatt in 2029, and can supply 700 megawatts in 2028. Covering the other 300 megawatts can mean waiting, or generating some power on site with solar cells, batteries as backup, or other sources, while still working with the utility.

Local generation can remain after the utility reaches full gigawatt scale, with the capability to send power back to the grid.

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Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI ·

Training Data

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  2. What Is Goodput in AI Infrastructure?Amin Vahdat says goodput is the useful work a real workload delivers, not the theoretical peak a chip can claim.
  3. Why Must Google Double Token Capacity Every Six Months?Amin Vahdat says the hardware has to double how many tokens it can generate every six months, and software will deliver as much of that capacity as the chips…
  4. Why Did Google Split Its AI Chips Into 8i and 8t?Amin Vahdat says Google split the line because, by 2026, inference and serving had grown large enough to justify a chip specialized for each job.
  5. Why Co-design an AI Chip With the Software?Amin Vahdat says co-design is how a stack stops leaving performance unused between the chip, the network, and the software.
  6. How Do Google and DeepMind Change a Chip Before Tape-out?Amin Vahdat says Google and DeepMind co-design hardware and models in the same rooms, and they will change a chip already in progress when the gain is large…
  7. What Has Stayed the Same Since Google's First Tensor Processing Unit?Amin Vahdat says the tensor processing unit, at a medium level of detail, has not really changed since the first version.
  8. How Do Long-horizon Agents Change a Data Center?Amin Vahdat says long-horizon agents change the data center because the human pause between prompts disappears, and the CPUs, network, and storage around the…
  9. How Does Google Replace a Failed Tensor Processing Unit Rack?Amin Vahdat says a failed tensor processing unit rack can be replaced with another rack without moving any fiber, because the light is redirected to a spare…
  10. Why Does Google Build Separate Inference Clusters?Amin Vahdat says serving clusters have to be built because inference demand is too large to cover with older training clusters that are no longer fully used…
  11. Are Google's Old AI Chips Still Fully Used?Amin Vahdat says Google's seven and eight year old tensor processing units are still at 100% utilization.
  12. Why Does Google Want Open AI Standards?Amin Vahdat says the build-out is too big and too important to be any one vendor's closed proprietary stack.
  13. Why Does Google Want Data Centers in Orbit?Amin Vahdat says orbital data centers are a moonshot Google is pursuing because energy production is a fundamental constraint, and space offers far more solar…

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