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Anthropic AI Buying Microsoft Maia Chips - NVIDIA is Dead

2026-06-01 Science & Technology
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Eli the Computer Guy
Eli the Computer Guy
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Spotify - https://open.spotify.com/show/1KkKuQe82tf1bW78ReQ0wM Apple Podcasts - https://podcasts.apple.com/us/podcast/eli-the-computer-guy/id1895967811 LinkedIn at - https://www.linkedin.com/in/eli-etherton-a15362211/

Top Comments (10)

@wizzyno1566 2026-06-01

The other Big Tech companies were never going to be happy with all the AI profits going to Nvidia with their ridiculous 70% margins.

44
@On-X76 2026-06-01

Seems like everybody has given up on finding that gold and decided they needed to be the ones making the shovels and picks...

11 1 replies
@MsJreal1 2026-06-01

this all reminds me of Enron but instead of one company it's an entire segment of business!

13 5 replies
@u4ea70 2026-06-01

Remember when the record industry tried to stop mp3? LOLZ.

24 5 replies
@negligo 2026-06-01

NVIDIA committed hara-kiri

1
@trincaogiovanni960 2026-06-01

Basically, there's a reason most businesses fill their fleet with toyotas, not BMWs

6 1 replies
@xchazz86 2026-06-01

The corporate con job must escalate at any cost! 😂

5
@queenofcats1 2026-06-02

Hadn't seen u in a long time glad to see your out here teaching people

0
@axa0176 2026-06-01

Eli is right! My IT career started with Cisco being the only game in town. Their early ads “Empowering the Internet Generation” showed how dominant they were and “Nobody got fired for buying Cisco” Nowadays, even major enterprises are running mixed networks running JUNIPER, HP, Cisco , ARISTA etc. This is a good analogy and maybe foreshadowing what is happening to AI accelerators.

2
@jcugnoni 2026-06-01

The main thing needed to run llm is a huge memory bandwidth. The type of compute operations in most llms is pretty simple matrix vector ops with different data types and dimensionnality... A dedicated TPU with the right limited feature set would work pretty well if you give it 1tb/s bandwidth

1

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