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Pearl Research Labs
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Pearl Research Labs
@prlnet
¶ Pearl is a mathematical breakthrough that redefines the unit economics of AI.
Katılım Mart 2026
2 Takip Edilen11.2K Takipçiler

Today, the Pearl Protocol relies on INT-based matrix multiplication, which requires model quantization.
To eliminate this overhead, we are developing our next-generation Proof of Useful Work to natively support floating-point computations.
Launching soon, the initial release will support FP8, with FP4 to follow.
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Pearl Research Labs is officially a member of the @Nvidia Inception program! #NVIDIAInception
We are building an accelerated inference platform to run the world's leading open-weight models - powered by Hopper and Blackwell GPUs.
➡️ Join the waitlist: pearlresearch.ai/waitlist?produ…

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@JimHenderson22 @nvidia We are building an AI inference platform, you are welcome to join the waitlist.
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@Abhishekan46413 @nvidia We're focused on shipping AI infrastructure products.
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Proof of work has always demanded a brutal trade-off - to secure a monetary network, you burn energy on the scale of entire countries. Meanwhile, hundreds of billions poured into AI - all for one operation at massive scale - matrix multiplication.
For years, these energy markets were disjoint. It was commonly believed that proof of work could never be implemented on top of real-world instances.
They were wrong.
The same matrix multiplication that powers AI can secure a monetary network as a by-product - every GPU cycle doing double duty. A currency backed by the most valuable computation on earth.
A deep dive by @weinsteinomri ⤵️
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Proof-of-Useful-Work proposes that the same GPU computation used for AI workloads can also secure a blockchain network.
But that immediately triggers an economic objection - if miners are already getting paid for running AI jobs, does the security of the network collapse?
@PassRafael breaks it down and shows why this critique doesn’t hold up. Worth watching 👇
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