{
  "id": 4673694,
  "title": "At Hot Chips ‘26, all eyes were on AI costs, GPUs — and the future",
  "url": "https://urgent.news/2026/08/31/at-hot-chips-26-all-eyes-were-on-ai-costs-gpus-and-the-future",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T15:59:04.000Z",
  "source": {
    "name": "Computerworld",
    "slug": "computerworld",
    "url": "https://www.computerworld.com/article/4216521/at-hot-chips-26-all-eyes-were-on-ai-costs-gpus-and-the-future.html"
  },
  "original_language": "en",
  "account": "At the Hot Chips show in California, discussions centered on AI costs, GPUs, and the evolving future of artificial intelligence technology. Companies such as OpenAI, Intel, and Meta unveiled new AI chips promising cheaper and faster token generation with lower power consumption. Chip manufacturers are shifting AI away from GPUs towards CPUs and PCs. Analyst Stephen Sopko from Hyperframe Research noted that while enterprise AI budgets are increasing, there is a growing emphasis on making AI more productive and reducing waste within budgets. However, he advised that CIOs should not assume their AI budgets will decrease. OpenAI introduced its homegrown AI chip, Jalapeño, which aims to serve more demand and lower costs in data centers. SemiAnalysis, after testing the chip, found it to be industry-leading, outperforming Nvidia, AMD, and Google chips on various open-source models. The future of AI compute is expected to be more distributed, with AI PCs, edge platforms, and localized servers playing significant roles. GPUs are becoming less dominant for agentic AI, leading GPU manufacturers like Nvidia and AMD to focus on new AI-friendly CPU architectures. Companies including Nvidia, Intel, and Intel showcased future CPUs and chips designed for AI, such as Intel's Diamond Rapids server CPU and Wildcat Lake PC CPU, which aims to bring AI to edge devices and low-cost laptops. System architecture changes, optimized data movement, advanced chip designs, and localized computing are also key themes discussed at the event, as enterprise AI is expected to become more heterogeneous. IT decision-makers should design AI architectures capable of adapting to changing economics and leveraging cheaper or better alternatives in the future.",
  "summary": "When you think of AI, and Nvidia’s GPUs often come to mind because they have been so much a part of the ongoing AI revolution. But at the recent Hot Chips show in California, an alternative future appears to be taking shape as corporate concerns continue to grow about cost, energy use and AI slowdowns. New AI chips detailed at the event by OpenAI, Intel, Meta and others promise cheaper and faster…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}