Behind the chip war in the AI era, there is a little-known battle for memory. From high-end GPUs to consumer devices, memory has become the most scarce and critical resource—this is not an alarmist statement.
The data is in front of us: memory costs account for 80% of the total GPU cost. As AI giants like OpenAI and Google compete to stockpile HBM and DRAM, the global chip supply chain is beginning to feel the pressure. Memory manufacturing giants such as Samsung, Micron, and SK Hynix are experiencing unprecedented capacity shortages, with orders piling up.
The ripple effects on the consumer side have already appeared. The cost of next-generation iPhones and other high-end electronic products is expected to increase by 40%—meaning the devices in your pocket could become more expensive. This is not just a pricing issue but also a restructuring of the entire industry chain's costs.
In response to this battle, industry giants have their own strategies. OpenAI has secured long-term memory capacity contracts to lock in supply early. Nvidia is exploring alternative technologies like SRAM to reduce dependence on traditional memory. Meanwhile, the three major memory giants are balancing capacity expansion and pricing strategies.
This memory race has just begun, and the ultimate winner will depend on who can seize the opportunities brought by this supply tightness more quickly.
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Ramen_Until_Rich
· 13h ago
80% of the cost is in memory? Then chip manufacturers must be having a really tough time... But to be honest, I just want to know when my graphics card will drop in price. The current prices are really discouraging.
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0xSleepDeprived
· 15h ago
The saying about cutting leeks again, 80% cost? It feels like this number changes every year. Who really believes it?
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LiquidationTherapist
· 17h ago
80% of the costs are in memory? That's why I can never afford a GPU... The giants are stockpiling, and we retail investors can only watch the prices soar.
iPhone up 40%? My wallet is already crying, feeling like I have to eat dirt.
Samsung and Micron are about to get rich this round; supply chain shortages give them the pricing power.
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MetaverseVagrant
· 01-10 10:36
Damn, another price hike? My wallet has already been cut several times during the AI era.
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GasGasGasBro
· 01-09 02:51
Here comes the pump and dump again, a 40% price increase for iPhone? Why not just rob a bank directly?
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ForkItAllDay
· 01-09 02:51
80% of the costs are all spent on memory? Now consumers will have to pay for the big manufacturers' arms race again...
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AirdropAutomaton
· 01-09 02:48
80% of the costs are in memory? Now consumers will have to pay again, with a bitter smile.
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LayerZeroHero
· 01-09 02:33
80% of the cost is in memory?? You should have seen it clearly earlier; the essence of AI burning money is just like this.
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GigaBrainAnon
· 01-09 02:23
80% of the costs are spent on memory? That's hilarious. No wonder phones are getting more and more expensive. This is exactly the hidden tax imposed by the giants.
Behind the chip war in the AI era, there is a little-known battle for memory. From high-end GPUs to consumer devices, memory has become the most scarce and critical resource—this is not an alarmist statement.
The data is in front of us: memory costs account for 80% of the total GPU cost. As AI giants like OpenAI and Google compete to stockpile HBM and DRAM, the global chip supply chain is beginning to feel the pressure. Memory manufacturing giants such as Samsung, Micron, and SK Hynix are experiencing unprecedented capacity shortages, with orders piling up.
The ripple effects on the consumer side have already appeared. The cost of next-generation iPhones and other high-end electronic products is expected to increase by 40%—meaning the devices in your pocket could become more expensive. This is not just a pricing issue but also a restructuring of the entire industry chain's costs.
In response to this battle, industry giants have their own strategies. OpenAI has secured long-term memory capacity contracts to lock in supply early. Nvidia is exploring alternative technologies like SRAM to reduce dependence on traditional memory. Meanwhile, the three major memory giants are balancing capacity expansion and pricing strategies.
This memory race has just begun, and the ultimate winner will depend on who can seize the opportunities brought by this supply tightness more quickly.