← Back
Google TPU

Google TPU

product
Last discussed Aug 25, 2026

Google's custom-designed AI accelerator chips for machine learning workloads

Recently discussed in

What creators say

Showing the most relevant creator cards first. Show all 15
NM
Neil Movva
mentioned
Used for: Heterogeneous AI inference serving fleet Praised: Comparative advantage in specific workloads vs: Grouped with Trainium and other non-Nvidia chips as part of a heterogeneous f...

"We love TPUs, we're going to make TPUs work. Yes, we love Trainium, we're going to make Trainium work. Every chip has a comparative advantage; we have to find that advantage and then squeeze it in that direction."

More from Neil Movva →
JD
Jeff Dean
mentioned
Used for: Specialized machine learning inference and training hardware; running speech recognition and other deep learning workloads at scale Praised: 30-80x more energy efficient than CPUs and GPUs; 20-30x lower latency; specia... vs: Compared to CPUs (which were insufficient for scaled speech recognition) and ...

"We came up with TPUs, which are very specialized for essentially low precision dense linear algebra, which is at the heart of nearly all of the modern machine learning algorithms we use today. That system produced a chip a couple years later that ..."

More from Jeff Dean →
GU
Gavin Uberti
mentioned
vs: Compared to Etched, where chip success is existential to the company

"It fundamentally is not existential for my company for this product to win. For Google with TPUs, their revenue comes from search. Google won't fail if TPUs fail."

More from Gavin Uberti →
HS
Harry Stebbings
mentioned
vs: Compared to Amazon Trainium and OpenAI Jalapeno as examples of hyperscaler cu...

"If Google has TPUs, Amazon have Trainium, while OpenAI now has Jalapeno."

More from Harry Stebbings →
Peter Diamandis
mentioned
Praised: 2x power efficiency

"Those TPUs are I mean that that's the lynch pin. And if you know they're 2x the power efficiency, but they're they're in the hunt now competing vertically."

More from Peter Diamandis →
MH
Mario Harik
mentioned

"You look at today where the latest Google TPU and where the Nvidia chipsets are at we're talking five petaflops"

More from Mario Harik →
TK
Tae Kim
mentioned

"Google is dying to get more TPU wafer capacity"

More from Tae Kim →
ES
Eric Schmidt
mentioned

"Those decisions made 10 years ago set up the TPU as the perfect inference engine for the reasoning tech steps I'm describing."

More from Eric Schmidt →
TBPN
mentioned

"the TPU was developed by the TPU team. DeepMind didn't realize how important it was going to be, how compute constrained they were going to be. So the TPU went and sold it to Anthropic"

More from TBPN →
GV
Gary Vaynerchuk
mentioned

"I don't think people realize that Alexa and Google Home and Apple Home are about to use this for real."

The future of AI · ▶ 0:03 · Feb 16, 2026
More from Gary Vaynerchuk →

"Anthropic signed a deal for a million TPUs"

Nvidia has NO choice · ▶ 0:26 · Feb 6, 2026
More from 20VC with Harry Stebbings →
NL
Nathan Lambert
mentioned

"Largely because the margin on NVIDIA chips is insane, and Google can develop everything from top to bottom to fit their stack and not have to pay this margin."

More from Nathan Lambert →

Created by

JR
Jonathan Ross
creator
Used for: Accelerating AI/ML model inference, demonstrated by dramatically improving AlphaGo's ELO score Praised: Enabled AlphaGo to search deeper in the game tree faster, improving move qual... vs: Compared to GPUs — TPUs dramatically outperformed GPUs for AlphaGo at the tim...

"I created Google TPU and at Google there was this time where AlphaGo running on GPUs had an ELO score of about 3,200. When put on TPUs, it actually went to like 3,900 — it jumped dramatically. The exact same model. What changed was the ability to ..."

More from Jonathan Ross →

About this data

  • ✓45,000+ mentions extracted from real podcast transcripts
  • ✓Every quote links to the source episode
  • ✓Sponsored mentions are always labeled
  • ✓Critical takes are shown, never filtered out
How Followed works →
Get an email when a new creator recommends it

Follow Google TPU

Free email updates