---
type: "Topics"
locale: "en"
url: "https://longbridge.com/en/topics/100000000554191.md"
description: "$Alphabet(GOOGL.US) just dropped a new tech called TurboQuant 🤯 — it cuts memory usage during AI inference down to one-sixth while actually boosting performance. The market’s knee-jerk reaction: does this mean we won’t need as many memory chips after all? 🤔 But stepping back, this feels more like short-term trading noise than a shift in the fundamentals. For one, the tech mainly optimizes inference-stage cache — it doesn’t directly reduce demand for training or core storage. And with AI still in explosive growth mode📈, compute and memory demand are expanding together. One compression algorithm isn’t going to cause a demand collapse💀 Personally, I see this kind of “tech shock” as more of a volatility driver than a trend-changer. In the memory space, sentiment rules the short term, but the medium-to-long term story still comes down to the AI demand curve. This looks more like a shakeout on negative news than a broken thesis🧹"
datetime: "2026-03-30T03:23:31.000Z"
locales:
  - [en](https://longbridge.com/en/topics/100000000554191.md)
  - [zh-CN](https://longbridge.com/zh-CN/topics/100000000554191.md)
  - [zh-HK](https://longbridge.com/zh-HK/topics/100000000554191.md)
author: "[Crab clps](https://longbridge.com/en/profiles/16656578.md)"
generator: "portal-rs"
---

# $Alphabet(GOOGL.US) just dropped a new tech called…


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> **Disclaimer: This article is for reference only and does not constitute any investment advice.**