When will google TPUs trickle down to the common folk?

[u/Terminator857]

Seems all the major players are now buying TPUs. Will we ever have them local?

https://x.com/rohanpaul_ai/status/2115261691906978233

Quote: ... OpenAI plans to buy AI chips from Google, ... Oracle will also offer TPUs through its cloud, ...

https://www.bloomberg.com/news/articles/2026-10-28/openai-plans-to-buy-google-s-chips-as-part-of-its-ai-build-out

[u/Double_Cause4609]

From Google? Not likely.

You can buy something similar from Tenstorrent, and they work pretty well for what they are, though.

One thing to note is that silicon takes usually about 5-6 years from new idea -> chips on the shelf. In 2024 people realized that local AI would be a thing, and in 2025, people *really* came to terms with local AI. The hardware that comes 5 years after that is going to be wild. Just give it time. We're in the mainframe era of AI.

[u/nonstop_slugger → u/Double_Cause4609]

the TPU v6e is already basically a commodity chip if you’re renting cloud time, so the trickle down is happening sideways rather than down. google has zero incentive to sell you a physical unit when they can just meter your usage forever

local hardware will catch up but it’ll be from companies that actually want to sell you a box, not from the ones selling the compute

[u/d1722825 → u/Double_Cause4609]

The hardware that comes 5 years after that is going to be wild.

And no one will be afford it regardless of how many kidneys they have.

---

By the way, with very few exceptions consumer PC hardware is in a huge race to the bottom (quality-wise) since 5 years ago or so, just with increasing prices. We are paying more for worse products, and that trend doesn't even seem to slow down. I don't know what would need to happen to that to reverse.

[u/mtmttuan]

You can use v5 in gcp or colab but obviously it's not anywhere close to the latest version.

Also I doubt tpu has good enough support to be used by the public.

[u/exaknight21 → u/mtmttuan]

But i mean if Google ever did release even a watered down fp4 version of their chips, say 16gb each, it’d be significantly profitable for them even at 999 per. Granted one should aim at 24gb or something so that bigger models can be used. But ayo, Alphabet Inc., listen.

[u/jtoma5]

The NPU in your phone right now is something like a TPU, isn’t it??

[u/ResponsiblePen3082 → u/jtoma5]

Tpu is just another way to say NPU, or visa versa. They're all takes on dedicated AI accelerator silicon, same as tensor cores on graphics cards or "neural accelerators" or "matrix multipliers"

Yes they have minor differences, yes some are more specialized than others, but in general it's just a naming convention. I think Nvidia got tired of it and started calling them XPUs to classify the whole overarching segment.

What makes something like this interesting, among other dedicated ai accelerators-is that it's not a small part slapped on otherwise less useful silicon-the entire pcb is designed purely for ai workloads. More powerful per capita, more efficient per capita, less latency per capita, etc.

[u/Lesser-than]

Proprietary tech gets shredded usually in upgrade cycles.

[u/fifi_galaxy]

Normal peasant wishing to buy TPU? How dare you?
On a serious note, it is not mass scale in usage or production, so it won't be cheap than current GPU anyway.

[u/xfalcox]

I have one at my desk