How to read this page. Each section starts Simple, then goes to a Deep dive: stop wherever you have what you need. The small numbers are sources: click one to open the original document. Where the maker has not published a figure -- a price, a die size, a factory address -- this page says so rather than estimate it.
1.At a glance
SimpleStart here
The TPU v1 was Google’s first custom AI chip, publicly announced 19 May 2016. Google said it had already been running in its own data centers “for more than a year” 1 — powering search results, Street View, and a Go-playing program the world was about to hear a lot about.
Deep diveThe technical detail
Google’s own paper states the chip went from design to production deployment in just 15 months 2 — and that it had already been running quietly inside Google’s own data centers for a year before the public announcement 1.
2.Launch and history
SimpleStart here
TPU v1 only ever ran already-trained models — it could not train new ones. Google built it purely to make its own products faster and cheaper to run at scale, not to sell or rent to anyone.
Deep diveThe technical detail
Google’s 2016 announcement named three products the chip was already powering: RankBrain (search ranking), Street View, and “the matches against Go world champion Lee Sedol” 1 — a reference to AlphaGo’s landmark March 2016 victory. Google framed the chip’s efficiency gain as equivalent to “fast-forward[ing] technology about seven years into the future” 1.
3.What’s inside it
SimpleStart here
An 8-bit matrix-multiplication engine built for one job: running already-trained neural networks fast and cheap. No training capability, no HBM — just plain DRAM and a PCIe connection 2.
Deep diveThe technical detail
65,536 8-bit multiply-accumulate units, clocked at 700 MHz, on a die no larger than half the size of a contemporary Intel Haswell server chip 2. 28 MiB of on-chip memory (24 MiB unified buffer, 4 MiB accumulators, 64 KiB weight FIFO), connected over PCIe Gen3 x16 as an add-in card rather than a networked system — TPU v1 had no chip-to-chip interconnect or pod concept at all 2.
4.Full spec table
SimpleStart here
92 TeraOps/second of 8-bit compute, 8GB of plain DRAM (not HBM) at 34 GB/s, and a 40W power draw — a fraction of what a contemporary GPU used 2.
Deep diveThe technical detail
| Spec | Google TPU v1 |
|---|
| Peak compute | 92 TeraOps/second (8-bit) |
|---|
| Clock speed | 700 MHz |
|---|
| Process node | 28 nm |
|---|
| On-chip memory | 28 MiB |
|---|
| Off-chip memory | 8 GiB DRAM (not HBM), 34 GB/s bandwidth |
|---|
| Power | 40W busy / 28W idle (chip); 384W busy (full 4-chip host system) |
|---|
| Host interface | PCIe Gen3 x16 |
|---|
| Multi-chip interconnect | None — single-card accelerator |
|---|
Figures per Google’s own ISCA 2017 paper 2, which is unusually specific for a TPU generation: Google states the 28 nm node outright, where several later generations have no published node at all.
5.Where it’s made
SimpleStart here
Google does not state who manufactured TPU v1 or on what process, beyond the 28-nanometer node disclosed in its own paper. No foundry is named in any official Google source.
Deep diveThe technical detail
Google’s long-running manufacturing partnership with Broadcom for later TPU generations is well documented from TPU v5 onward, but no official Google or Broadcom source found ties Broadcom, or any other specific manufacturer, to TPU v1 by name. This page does not assert one.
6.Which systems use it
SimpleStart here
TPU v1 was never offered for rent. It ran only inside Google’s own data centers, serving Google’s own products.
Deep diveThe technical detail
Confirmed by Google Cloud’s own current pricing page, which lists no TPU v1 tier at all 3 — unlike TPU v2 and later generations, which remain listed as legacy rentable options. TPU v1 predates Cloud TPU as a product entirely.
7.Official pricing
SimpleStart here
There was never a price. TPU v1 was internal-only and never appeared on any Google Cloud price list 3.
Deep diveThe technical detail
Google Cloud’s pricing page lists legacy per-chip-hour rates going back to TPU v2, but no TPU v1 entry exists at any point in that history 3 — consistent with TPU v1 never being offered outside Google’s own infrastructure.
9.What came before, what came next
SimpleStart here
Came before: nothing — TPU v1 was Google’s first custom AI chip. Came after: TPU v2, announced May 2017, which added the ability to train models, not just run them.
Deep diveThe technical detail
TPU v1 has no predecessor in Google’s chip lineup. Its single limitation — inference only, no training — became the headline feature of TPU v2 a year later 2.
10.Hidden in plain sight
SimpleStart here
The chip that helped beat the world Go champion was announced to the public only after the match was already won.
Deep diveThe technical detail
Google’s own March 2016 blog post about AlphaGo’s victory over Lee Sedol makes no mention of TPUs at all — the chip wasn’t revealed publicly until two months later, in the 19 May 2016 announcement that first named it as having powered those matches 1. For two months, the hardware behind one of AI’s most-watched moments was simply unknown to the outside world.