Upgrading hardware is usually a straightforward decision: Your device slows down, you replace it. But 2026 isn’t showing a typical hardware cycle. Increased demand for memory from AI data centers has tightened the current and future supply of RAM (random access memory, a form of electronic computer memory), putting upward pressure on production costs. What does this mean for you? Prices and availability may never get better.
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。关于这个话题，爱思助手下载最新版本提供了深入分析
商业模式单一，就是软件还没有定义硬件，没有进入摩尔定律迭代的状态。大家都在卷几个部件，整个行业能容纳的公司就非常少，也都挣不到钱。不能所有人都去研究底座，必须得有人构建商业模型。
Hey HN - we're Tarush, Sidhant, and Shashij from Cekura (https://www.cekura.ai). We've been running voice agent simulation for 1.5 years, and recently extended the same infrastructure to chat. Teams use Cekura to simulate real user conversations, stress-test prompts and LLM behavior, and catch regressions before they hit production.The core problem: you can't manually QA an AI agent. When you ship a new prompt, swap a model, or add a tool, how do you know the agent still behaves correctly across the thousands of ways users might interact with it?
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