---
title: "TetraMem memristor survives 700 degrees Celsius as startup moves AI inference chips to production wafers"
url: https://daily.dev/posts/tetramem-memristor-survives-700-degrees-celsius-as-startup-moves-ai-inference-chips-to-production-wa-pmplyg8m6
source_url: https://thenextweb.com/news/tetramem-memristor-700c-space-ai-computing
type: article
source: "The Next Web"
published: 2026-05-14T08:34:23.271Z
updated: 2026-05-14T08:34:46.673Z
tags: ["ai-inference"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# TetraMem memristor survives 700 degrees Celsius as startup moves AI inference chips to production wafers

**[The Next Web](https://daily.dev/sources/tnw)** · 8 min read · 0 upvotes · 0 comments

## Summary

USC researchers have built a memristor that operates reliably at 700°C — hotter than molten lava and beyond Venus surface temperatures — using a tungsten/hafnium-oxide/graphene stack where graphene prevents electrode short-circuiting. The device held data for 50+ hours at that temperature, survived over a billion switching cycles, and ran on 1.5V. TetraMem, the startup commercializing the technology, has moved its room-temperature AI inference chips to 300mm production wafers via NY CREATES with SK hynix and CHIPS Act support. Memristors perform matrix multiplication physically via Ohm's Law, enabling in-memory computing that eliminates the von Neumann bottleneck and promises orders-of-magnitude better energy efficiency than GPU-based AI inference. The high-temperature variant opens possibilities for computing in extreme environments like Venus landers, geothermal drilling, and nuclear reactors.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/tetramem-memristor-700c-space-ai-computing>

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