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Quasar cuts AI training costs by 99.5% using decentralized network aiming for 10-trillion-token run

Protocol Fundamentals
28 Jul 2026
Crypto Briefing
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Bullish
pluang ai news

Quasar, operating as Subnet 24 on the Bittensor network, has developed a decentralized AI training marketplace that claims to reduce pre-training costs by 99.5% compared to traditional centralized methods. The project focuses on training long-context AI models with context lengths around 2 million tokens, using a novel Quasar Attention method and hybrid architecture. Quasar plans a massive 10-trillion-token training run, far surpassing GPT-3's 300 billion tokens, leveraging a competitive miner reward system to improve model performance. Investors should watch for benchmark results and progress on the ambitious training run as a test case for decentralized AI training viability.

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