A top semiconductor executive just dropped some interesting perspective on where we're at with AI right now. According to them, we're basically still in the very early stages of unlocking AI's full potential. Think of it like the beginning of a whole new era for computing power and infrastructure. This kind of statement matters for anyone tracking the hardware space—especially when you consider how GPU capacity ties into broader computational demands across various industries. The implication is clear: there's still massive runway ahead for innovation and deployment in this sector.
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ETH_Maxi_Taxi
· 01-09 12:57
The big boss in the chip industry is right, the story of GPUs is just beginning, and there's still a long way to go.
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SnapshotLaborer
· 01-09 01:49
GPU production capacity hasn't been fully utilized yet. It's true that we're still in the early stages, but whoever can block the supply chain in this round will be the winner.
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ReverseFOMOguy
· 01-08 10:32
Nah, that's too conservative. It should have been said that it's still in the early stages...
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BlockchainDecoder
· 01-07 15:27
According to research, what this guy said is not wrong, but the key is still data support. From a technical perspective, GPU demand is really not something that can be simply considered as just in the "early stage."
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GasFeeCrybaby
· 01-06 16:41
The GPU wave has just begun, let's wait and see how things unfold later.
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SatoshiSherpa
· 01-06 16:40
NGL, the GPU wave has just begun, and chip giants are hinting at even more significant room for growth.
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LiquidityWitch
· 01-06 16:26
Early stage? That's hilarious. We haven't even seen the tip of the iceberg... The GPU wave has really just begun.
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AirdropHarvester
· 01-06 16:24
gpu这波还远着呢,早期阶段都是来割韭菜的说辞
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DiamondHands
· 01-06 16:20
GPU chips are indeed still early, but it also feels like there's quite a bit of hype involved...
A top semiconductor executive just dropped some interesting perspective on where we're at with AI right now. According to them, we're basically still in the very early stages of unlocking AI's full potential. Think of it like the beginning of a whole new era for computing power and infrastructure. This kind of statement matters for anyone tracking the hardware space—especially when you consider how GPU capacity ties into broader computational demands across various industries. The implication is clear: there's still massive runway ahead for innovation and deployment in this sector.