Training AI models or running large-scale AI applications requires serious computing power, the kind most people and even small companies can’t afford to buy. Usually, you’d rent that power from big cloud providers like Amazon or Google. But what if your AI work involves sensitive data you don’t want anyone else to see? Targon solves…
In a Hash Rate Podcast, Mark Jeffrey sat down with James Woodman, co-founder of Targon (Subnet 4 on Bittensor), to talk about Targon’s $10.5 million raise, its latest security breakthrough, and how decentralized compute is evolving under Bittensor’s new economic model. It was a lively discussion (see the video below), one that touched on funding,…
Fully Written By: Seth Bloomberg Subnets that actually generate revenue are pulling in the lion’s share of the Bittensor network’s emissions. Today, three of the top 5 subnets—Chutes, Targon, Lium—collectively account for nearly 20% of the network’s entire emission allocation, worth just over $2.25M/day. Having only switched on monetization about three months ago, they are…
Targon, operating as Subnet 4 on Bittensor, stands out as a high-speed, confidential compute cloud designed for secure AI inference and model hosting. Built by Manifold Labs, Targon leverages technologies like Confidential Compute (CC) and Protected PCIe (PPCIE) to ensure data privacy and verifiable operations, making it a foundational layer for other subnets to build…
