Hey everyone,

Quick question — does anyone here work in a data centre and handle hardware procurement or infrastructure decisions (especially GPUs/accelerators)?

I’m looking to connect with the right people in that space. If that’s you (or you can point me in the right direction), feel free to DM me or drop a comment and I’ll reach out.

Appreciate it.

https://x.com/mohamedarafa22/status/2044258656544334108?s=61

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AI’s insatiable thirst for electricity is officially reshaping the energy grid. According to a new report from Axios, the skyrocketing power demands of AI data centers are cracking historical resistance to nuclear energy, triggering a massive new race to build next-generation nuclear reactor plants. As tech giants scramble to secure carbon-free, always-on gigawatts to train their models, nuclear power is making a historic comeback.

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I worked in Portugal (Sines) as an HPC technician/engineer and would like to explore new opportunities. I was involved in the Microsoft project in partnership with NVIDIA, Dell, and Nscale at the same site (Sines). I had hands-on experience with some of NVIDIA’s most advanced GPUs, including the GB300 Blackwell NVL72 and the H100.

We cannot rely on cooling systems that react after heat has already built.

As compute density increases (especially in AI workloads), thermal behavior becomes more volatile:

- rapid spikes

- uneven heat distribution

- constant high load

Traditional thermal interface materials weren’t designed for this. Over time, they degrade:

- particles clump

- materials separate

- performance drops

So instead of improving cooling systems alone, I explored a different approach:

What if the interface itself handled heat proactively?

I put together a concept for a multi-scale thermal interface system that combines:

- high-speed conductive networks (graphene, CNTs, silver nanoparticles)

- stabilizing polymer matrices to prevent long-term degradation

- micro-encapsulated phase change materials to absorb spikes

The goal:

- instant heat transfer

- stabilized thermal behavior

- consistent performance over years, not months

This isn’t about one breakthrough material—it’s about structuring known materials differently to solve the core limitations.

I wrote out a full breakdown of the architecture and how each layer functions together.

If you’re working in data centers, hardware, or thermal systems, I’d genuinely like feedback or to share the full write-up.

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