人工智能的稀缺性开始
The Beginning of Scarcity in AI

原始链接: https://tomtunguz.com/ai-compute-crisis-2026/

人工智能计算能力充裕且廉价的时代正在结束。供应链紧张,尤其是英伟达 Blackwell 芯片,正在推高成本并限制对尖端人工智能模型的访问。GPU 租赁价格飙升,CoreWeave 等供应商正在提高价格并延长合同。 这种稀缺性正在重塑人工智能格局,即使像 OpenAI 和 Anthropic 这样的行业领导者也在限制对其最新技术的访问。访问正在变得“受限”,偏向于大型且资金雄厚的组织。 五大关键趋势正在显现:人工智能访问现在基于关系且昂贵,即使负担得起也可能很慢,并且正成为一种通货膨胀的商品。这迫使开发者多元化,探索更小的模型或本地解决方案,预计这种转变将持续数年,直到基础设施赶上。人工智能的充裕时代已经结束,需要新的采购和利润管理策略。

## AI 稀缺与创新 - Hacker News 讨论总结 Hacker News 的讨论围绕着 AI 出现的“稀缺时代”,其驱动力是计算能力和能源的限制。核心观点是,制约正在促使人们在之前被忽视的领域进行创新。具体而言,重点正在转向**加速器设计**和**小型模型**——两者都被认为具有巨大的未开发潜力。 许多评论员指出,**ASML 有限的 EUV 光刻机生产**和**涡轮叶片供应**是阻碍芯片制造和数据中心扩张的关键瓶颈。虽然一些人认为需求的增加最终会刺激生产的增加,但另一些人预测至少未来 5-10 年的计算能力将受到限制。 关于这种稀缺性是否“人为”存在争论,一些人认为 LLM 推理最终会变得商品化,尽管目前像 GB200 和 A100 这样的机器成本很高。另一些人则反驳说,高价格表明了巨大的需求。讨论还涉及 AI 实验室在计算上投入巨资的经济现实,这由高推理利润率所证明,以及像 Coreweave 这样的新进入者可能利用有限的资源分配。
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原文

For the first time since the 2000s, technology companies are confronting the limits of their supply chain.

GPU rental prices for Nvidia’s Blackwell chips hit $4.08 per hour this week, up 48% from $2.75 just two months ago. CoreWeave raised prices 20% & extended minimum contracts from one year to three.

“We’re making some very tough trades at the moment on things we’re not pursuing because we don’t have enough compute.” - Sarah Friar, OpenAI CFO

This scarcity is already reshaping access. Anthropic has limited its newest model to roughly forty organizations. Access to the bleeding edge is becoming a gated privilege, for both capacity & security.

B200 GPU Prices March 2026

If the largest AI companies are having problems, startups face a tougher proposition. Five hallmarks define this era :

  • Relationship Based Selling : State-of-the-art models may no longer be open to everyone as providers limit access to their most profitable or strategic customers.
  • AI to the Highest Bidder : Even when they do become available, SOTA models may become prohibitively expensive. Companies that can raise large amounts of capital or generate strong profits will have an advantage.
  • Available but Slow : Even if you can pay, there may not be guarantees the models will be fast.
  • Inflationary Commodity : This imbalance will inevitably drive prices higher as demand compounds against a fixed supply. Procurement & margin management will become key disciplines in software companies.
  • Forced Diversification : Developers will be forced to look elsewhere, from smaller models to on-premise deployments, until energy infrastructure & data center buildouts catch up, which could take years.

The age of abundant AI is over, & it will remain so for years.

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