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One CPU doesn't fit every AI workload. Hear why agentic AI is creating new roles for CPUs across the data center.

45,219 görüntüleme • 1 ay önce •via X (Twitter)

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Fragile Express profil fotoğrafı
Fragile Express1 ay önce

More Slop for Ai Slop

REVELATOR profil fotoğrafı
REVELATOR1 ay önce

@grok is that Cotton or Silk ?

Максим Королевский profil fotoğrafı
Максим Королевский1 ay önce

AI workloads are getting more heterogeneous. The interesting part isn't CPU vs. GPU — it's how the two are being orchestrated efficiently for agentic workloads.

Evelyn Martin profil fotoğrafı
Evelyn Martin1 ay önce

AI workloads require specialized processing

The AI Maximalist profil fotoğrafı
The AI Maximalist1 ay önce

CPU is the only part of the data center that didn't get an AI tax. agentic AI just made the 47% of chips nobody's talking about the most valuable asset in the room.

Vladislav Mikhalev profil fotoğrafı
Vladislav Mikhalev1 ay önce

🌞😉💯👍

Sebastian Buzdugan profil fotoğrafı
Sebastian Buzdugan1 ay önce

why count cpu cores when agent workloads usually hit memory bandwidth first

foa luigi profil fotoğrafı
foa luigi1 ay önce

tbh, who needs CPUs when you can just throw more GPUs at it, right?

karabo mathews profil fotoğrafı
karabo mathews1 ay önce

More are on models package like contents and that invite government's engagement with different ideas

What_ǝɥ┴_Actual_ʞM∀Ⅎ profil fotoğrafı
What_ǝɥ┴_Actual_ʞM∀Ⅎ1 ay önce

Look, I'm no IT specialist, but being an all AMD customer, I'm proud of how far AMD has come... and excited to see what lies ahead, but for the love of God, PLEASE launch a RX 9070 XTX!

Benzer Videolar

Cathie Wood just flagged the sleeper trade inside the AI boom that most people are completely missing. Everyone has been chasing GPUs. Nvidia, the data center buildout, the chip arms race. That trade has been obvious for two years. But OpenAI's CFO Sarah Fryer said something quite different: people are going to be really shocked by how agentic AI activates CPUs. Right now, for every CPU in an AI workload, there are 4 to 5 GPUs. That's the current ratio. Wood thinks that ratio is going to 1 to 1. Think about what that means. AI inference at scale, agents running autonomously, pipelines executing tasks across systems. The compute mix shifts dramatically away from pure GPU dominance. CPUs become a first-class citizen in the AI stack. Cathie called it going "back to the future." Intel has taken off. Flex (formerly Flextronics) is booming. Stocks that were giants in the dot-com bubble are resurging because the underlying demand for their products is real again. The GPU trade made sense at the training stage. You need massive parallel compute to train frontier models. But agentic AI runs differently. Agents are constantly orchestrating, reasoning, calling APIs, executing workflows. That workload looks a lot more like traditional computing. And traditional computing runs on CPUs. If Cathie Wood is right about the ratio collapsing to 1:1, the CPU demand signal embedded in the AI buildout is orders of magnitude larger than the market is currently pricing.

Milk Road AI

235,226 görüntüleme • 4 ay önce