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Decentralized AI comes to Solana because Paradigma invests $ 50 million in nose

Decentralized AI comes to Solana because Paradigma invests $ 50 million in nose

Decentralized research and movement provided $ 50 million in investment from the paradigm at risk capital company.

Blockechain firms have historically struggled to compete in AI space, but it can be changed soon. On Friday, April 25, the capital of the company Paradigma announced a $ 50 million Investing in AI boot, Nous research. The company will use funds to build a decentralized AI model on Solana (Sol).

The project plans to train its open source models with a large source, serving as an alternative to Openai’s Chatgtpt and Metaina Llam. While models are still in the testing phase, Nous research has already published several influential research papers, including one of the LLMS training with GPUs that are not in the same place.

Nous Research Team is “Cripto Matida,” says Cofofunder

Nous research aims to take advantage of Blockcack Salan to launch a decentralized computer network needed to train her LLMS. Instead of relying on one data center, the platform will allow everyone to contribute to its IDLE GPU attacks to help in model training. In return, the associates will earn the tokens as a reward.

“We mean the incentive mechanism behind the crypto to push people in fact using their holiday calculating less as a donation, but more like a transaction,” said Nous research co-founder Karan Malhotra.

Malhotra has recognized wide skepticism around AI and CRIPT. Specifically, he noticed that many crypto projects launches hype and said there is a “lot of room for Roft”. However, he stressed that their research supports the case of Real Clocchain in decentralized training.

The district series puts an assessment of setting new research at a billion dollars, which has almost exclusively funded by the paradigm. The company previously raised 20 million dollars from investors, including distributed global, northern Iceland, and Delphi digital.



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2025-04-25 17:56:00

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