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On October 30, 2026, OpenAI CEO Sam Altman put forward a view on the podcast "Cheeky Pint": having everyone leave globally scarce DRAM memory idle in personal computers at only 5% utilization is quite bad from the perspective of global resource allocation; memory should be concentrated in cloud data centers to achieve maximum utilization. He also called the progress in resolving the memory shortage "terrible," arguing that memory manufacturers are conservative in capital expenditure due to historical loss cycles, and that the "invisible hand" is failing. There are currently no subsequent developments.
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Sam Altman on the DRAM utilization problem in local inference
Source:36Kr · AI
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Nov 2
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Ayi AI Notes
Altman Says 95% of Personal Computer Chips Sitting Idle Is Wasteful, Author Pushes Back
In an interview, Altman said that the memory chips in personal computers are in use only 5% of the time, which is a huge waste, and that chips should be pooled together to maximize utilization. The author argues that this is essentially taking back ownership of personal hardware: local 64G and 128G unified memory can run open-source models, so users no longer need to pay $20 a month in rent to the cloud, and who owns the compute is the real dividing line in the AI era.
Electronic Technology Application
Altman says running AI locally wastes scarce DRAM, advocates maximizing cloud utilization
OpenAI CEO Sam Altman said on the podcast "Cheeky Pint" hosted by Stripe co-founder John Collison that having everyone keep globally scarce DRAM memory at home while using it only 5% of the time is a rather bad global misallocation of resources, and that when supply is constrained, the cloud should be used to maximize utilization. He also called progress in resolving the memory shortage "terrible," arguing that memory manufacturers are conservative in capital expenditure due to historical loss cycles, and that the "invisible hand" is failing. He opposes a single superintelligence and prefers "Agent Teams," and said tokens are a "fake unit" of business value.
Nov 1
heise online
Sam Altman calls personal computers' occupation of DRAM a "terrible" resource misallocation
OpenAI co-founder Sam Altman said on the podcast "Cheeky Pint" that individual users occupying the world's limited DRAM supply to run local open-source models is "pretty terrible," because that memory is actually used only 5% of the time. He believes the current "invisible hand is failing," but does not blame memory manufacturers, and said OpenAI is still pushing ahead with building its own data centers, and has even developed robots for this that can "self-replicate data centers."
Sina TechRelated discussion
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Sina Tech
OpenAI CEO Altman: Putting DRAM in personal computers is a waste of resources; it should be prioritized for AI data centers
OpenAI CEO Altman believes that letting the world's limited DRAM sit idle in personal computers at only 5% utilization is a very poor allocation of resources, and that memory chips should be concentrated in cloud data centers to improve utilization. He also revealed that OpenAI once considered following AWS's example of charging per task rather than per token, but customers reacted strongly and still prefer tokens as the billing unit.
AYi AI Notes
Altman says hoarding memory in personal computers is wasteful and it should be moved to the cloud
OpenAI CEO Sam Altman said in a public interview that users around the world hoarding large amounts of memory in personal computers is extremely wasteful, with most machines running at only 5% utilization, and that this high-bandwidth memory should be consolidated into cloud data centers rather than kept locally to run models. He believes that global advanced memory production capacity is a rigid physical bottleneck, and that idle personal devices are diverting strategic materials that should be used for data centers. The article also points out that this statement aligns with OpenAI's business stance of promoting cloud subscriptions, and that cloud efficiency does not equal users' privacy, security, and independent sovereignty.
Oct 31
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Solidot
Sam Altman says PC memory idle rate is about 5%, advocates maximizing utilization of cloud computing power
OpenAI CEO Sam Altman said in an interview that the world's limited DRAM supply is scattered across everyone's PCs, with utilization possibly only around 5%, which is very bad in the current environment of extremely limited supply, and that the goal should be to maximize the utilization of cloud computing power. He also pointed out that the invisible hand of the market has failed, and that the HBM used by AI chips is different from the DDR4/DDR5 used in PCs; the memory shortage mainly stems from manufacturers shifting production capacity to the more profitable HBM.
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Numerama
Sam Altman says idle RAM in personal computers should be put into OpenAI data centers
OpenAI founder Sam Altman said in the Cheeky Pint podcast released on October 29 that individuals leaving DRAM in PCs that are only used 5% of the time is "pretty bad," and that it would be better to concentrate it in cloud data centers to improve utilization. The backdrop is that memory prices have risen three to four times within a year: a 32GB DDR5 kit went from about 119 euros in October 2025 to about 414 euros in mid-October 2026, while OpenAI had previously signed agreements with Samsung and SK Hynix to lock in large amounts of DRAM capacity for the Stargate project.
36Kr · AI
Altman on memory allocation: stuffing memory into personal computers is too wasteful; it should be concentrated in AI data centers
OpenAI CEO Sam Altman said in a Cheeky Pint interview that letting everyone leave scarce DRAM memory idle in personal computers, with a utilization rate of only 5%, is quite bad from the perspective of global resource allocation, and that memory should be concentrated in cloud data centers. He also discussed that AI's ability to discover vulnerabilities continues to improve, that sandboxes are only effective to a certain extent, that he insists on using agent teams rather than agent swarms, and that the current 5-year total cost of ownership per GW of leading AI compute is about $70 billion.
cnBeta
Altman: PC memory utilization is only 5%, DRAM should be prioritized for AI data centers
OpenAI CEO Sam Altman said in a Cheeky Pint interview that having everyone leave the world's limited DRAM sitting idle in personal computers at only 5% utilization is a very poor allocation of resources, and that the cloud should maximize utilization as much as possible. He also revealed that OpenAI is pursuing self-developed chips, building its own data centers, and "self-replicating data centers," and said that memory manufacturers, having nearly gone bankrupt in the past from overbuilding factories, are extremely conservative about expanding production, and that "the invisible hand is failing now."
cnBetaRelated discussion
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Phoenix Technology
Altman: Putting Memory in PCs Is Too Wasteful; DRAM Should Be Centralized in AI Data Centers
In a Cheeky Pint interview, OpenAI CEO Sam Altman said that having everyone hoard scarce DRAM in their computers at only 5% utilization is a "pretty bad" arrangement from the perspective of global resource allocation, and that memory should be centralized in cloud data centers. He also revealed that OpenAI is working on in-house chips, building its own data centers, and "self-replicating data centers," and said memory manufacturers are conservative about expanding production due to historical losses, adding that "the invisible hand is failing right now."
The Verge AI
Sam Altman: RAM is better placed in data centers than in personal computers
OpenAI CEO Sam Altman, speaking about the RAM shortage on the Cheeky Pint podcast, said that putting RAM in personal PCs rather than data centers is "bad." Samsung and SK Hynix have signed long-term agreements with cloud service providers and projects such as OpenAI's Stargate, locking up most of the world's RAM production capacity for the next few years, which is also the reason for the current price increases in laptops, phones and other devices.
Oct 30
Rohan Paul
Rohan Paul on Sam Altman's Remarks About Local Inference
Rohan Paul quotes Sam Altman's view on local inference: from a global resource allocation perspective, having the world's limited DRAM sitting idle in everyone's computers and only 5% utilized is terrible. Rohan Paul adds that on a per-token cost basis, data centers are clearly superior, and a local model with batch size 1 is wasteful by any utilization metric, but it is also the only part of the entire tech stack that no one can take down on you.
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