Together AI Taps Blockchain for Cheaper AI

Together AI and Pearl Research Labs are integrating blockchain to cut AI inference costs, offering discounted model access subsidized by cryptocurrency mining.

Together AI and Pearl Research Labs logos side-by-side with abstract network graphics.
Together AI and Pearl Research Labs join forces to integrate blockchain for AI.· Together AI
Visual TL;DR
High AI Inference CostsDriver
AI computation is expensive and needs cost reduction strategies
From the article 2 mentionsTogether AI is teaming up with Pearl Research Labs, the creators of the Pearl Network, in a strategic move to significantly reduce the cost of AI inference.
Together AI & PearlCore
Partnership to integrate blockchain into AI computation
From the article 9+ mentionsTogether AI is teaming up with Pearl Research Labs, the creators of the Pearl Network, in a strategic move to significantly reduce the cost of AI inference.
Pearl's Proof of WorkCore
Leverages GPU compute for AI to mine crypto
From the articleThis partnership aims to integrate blockchain technology, specifically Pearl's 'Proof of Useful Work' protocol, directly into AI computation.
Offsetting Compute CostsContext
From the articleThis means every GPU cycle dedicated to AI workloads simultaneously contributes to securing the blockchain and mining new digital assets, effectively offsetting compute costs without additional expense.
Cheaper AI InferenceEffect
Discounted model access subsidized by crypto emissions
From the article 6 mentionsThe core innovation lies in Pearl's ability to generate its native cryptocurrency, ¶PRL coin, by leveraging the computational power used for AI training and inference.
Gemma-4-31B-it-pearlOutcome
From the articleAs a first product of this collaboration, Together AI is launching a discounted inference endpoint for the instruction-tuned Gemma-4-31B-it-pearl model.
Over 25% DiscountOutcome
Significant savings on AI model access
From the articleThis endpoint offers over a 25% discount, with the savings underwritten by the future value of crypto emissions generated through the Pearl Network.

Together AI is teaming up with Pearl Research Labs, the creators of the Pearl Network, in a strategic move to significantly reduce the cost of AI inference. This partnership aims to integrate blockchain technology, specifically Pearl's 'Proof of Useful Work' protocol, directly into AI computation.

The core innovation lies in Pearl's ability to generate its native cryptocurrency, ¶PRL coin, by leveraging the computational power used for AI training and inference. This means every GPU cycle dedicated to AI workloads simultaneously contributes to securing the blockchain and mining new digital assets, effectively offsetting compute costs without additional expense.

As a first product of this collaboration, Together AI is launching a discounted inference endpoint for the instruction-tuned Gemma-4-31B-it-pearl model. This endpoint offers over a 25% discount, with the savings underwritten by the future value of crypto emissions generated through the Pearl Network. Together AI plans to expand this portfolio, potentially allowing customers to directly benefit from these emissions.

Pearl's breakthrough promises to fundamentally alter the AI model inference economics. By increasing the economic throughput of GPUs and lowering the price-per-token for large language models, it addresses a critical bottleneck in AI deployment. This approach offers a novel solution for AI inference cost optimization.

Omri Weinstein, Co-founder and CEO of Pearl Research Labs, stated that the partnership delivers the first inference endpoint discounted due to parallel coin generation. This integration marks a significant step towards making AI more accessible and widely distributed, aligning with Together AI's core mission. The details of this partnership were first announced on Together AI.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.