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![xyder_vx Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1783395869502439424.png) Xyder ⨀ [@xyder_vx](/creator/twitter/xyder_vx) on x 5031 followers
Created: 2025-07-23 04:13:52 UTC

When I first started exploring ZK, I kept hearing the same story:

“Proof generation is slow, it’ll get better with better algorithms.”

But over time, I realized that wasn’t the full picture.

Recursive proving, polynomial commitment schemes, STARKs, all important.

But even the best math still hits a wall if the hardware can’t keep up.

ZK proof times dropping from minutes to seconds isn’t just a software win.
It’s a hardware breakthrough.

That’s where Cysic shifted my perspective.
They’re not just optimizing code, they’re optimizing the silicon it runs on.

ASICs purpose-built for zero-knowledge. GPU clusters tuned for parallel proving.

When I saw Scroll, Polyhedra, and Succinct working with them, it all clicked.

This isn’t hypothetical.
This is the infrastructure behind production-grade ZK.

Because at the end of the day, fast proving doesn’t come from theory.

It comes from throughput.
From raw, reliable, permissionless compute.

And that’s exactly what Cysic is building.
Not just chips, an entire network designed to make zero-knowledge performant.

The gap between academic ZK and real-world ZK is closing fast.

Not because the math changed, but because the machines finally caught up.

![](https://pbs.twimg.com/media/Gwg79DbXEAIPCvc.jpg)

XXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947872767551914182/c:line.svg)

**Related Topics**
[chips](/topic/chips)
[artificial](/topic/artificial)
[blockchain](/topic/blockchain)
[decentralized](/topic/decentralized)
[hardware](/topic/hardware)
[$ai4](/topic/$ai4)

[Post Link](https://x.com/xyder_vx/status/1947872767551914182)