Warren Buffett Just Bet $4.3 Billion on Google.

So this investment? It's big.

And honestly, it's hard NOT to understand when a company has invested in owning the WHOLE DAMN VERTICAL.

That's exactly what Google is doing. So when Berkshire Hathaway dropped $4.3 billion on Alphabet (Google's parent company), I get it!.

The TPU is just one arm in this vertical ownership game — but damn, it's a big part.

So let's talk about it. And I'll end with how you can save costs and apply for Google's FREE TPU Research Cloud.

Every major AI company, OpenAI, Meta, Microsoft, depends on NVIDIA chips to train their models.

NVIDIA charges 70% margins. That's like paying rent to your competitor.

Google said: "We'll build our own."

TPU = Tensor Processing Unit. Google's custom AI chip.

Here's why it matters:

Gemini 3 (Google's top AI model) was trained entirely on TPUs. Zero NVIDIA chips.

That's a first. No other company has done this at the frontier model level.

Google controls the whole stack: chips → cloud → AI models → apps → Android phones.

The Numbers

4x better cost per dollar than NVIDIA GPUs for AI training

Midjourney cut costs by 65% after switching to TPUs

Anthropic signed a multi-billion dollar deal for up to 1 million TPUs

Meta is in talks to buy TPUs — a potential defection from NVIDIA

1. 1. Use Google Cloud TPUs for training

Up to 4x cheaper than renting NVIDIA GPUs. Best for startups training AI models.

2. 2. Build with Gemini API

Runs on TPUs behind the scenes. You get the cost savings without managing hardware.

3. 3. Apply for FREE TPU access

Google's TPU Research Cloud gives researchers and builders free TPU time.

Apply here: sites.research.google/trc

4. 4. Use JAX or TensorFlow frameworks

These are optimized for TPUs. Your code runs faster without extra work.

5. 5. Invest in Google/Alphabet stock

Not a builder? You can still bet on the TPU advantage like Buffett did.

While everyone else pays the NVIDIA tax, Google built their own empire.

Buffett noticed. Now you know why.