I noticed something interesting while exploring the GPU and AI sector right now. You probably know ionet_official and its impressive GPU clusters supported by Solana and Filecoin? Well, there is a less well-known alternative that really deserves some attention: CLORE.

So here’s the deal, CLORE is a POW-based platform that allows decentralized GPU computing power rental. It’s a simple but powerful concept: NVIDIA GPU owners connect their machines to the network and earn CLORE tokens, while those needing computing power can rent it directly. Currently, the network accesses over 5,500 GPUs. The team operates from Europe and claims to comply with local regulations, although information about the members remains quite discreet.

What struck me is the economic model. The CLORE token uses the kawpow algorithm, the same as Ravencoin, which resists ASIC mining. No pre-mining, no ICO. Each block is divided as follows: 50% to miners, 40% to those renting out their computing power, and 10% to the team. It’s quite balanced for an emerging project. The total supply caps at 1.3 billion tokens, with about 632 million currently in circulation.

The use case? Honestly impressive. Beyond renting out computing power for AI and video rendering, the network intelligently adapts. When there’s no demand for specific services, GPUs automatically redirect toward mining the most profitable cryptocurrency at the moment. It’s a dual revenue engine.

On the narrative level, CLORE plays on two fronts: pure POW and AI infrastructure. This is exactly the kind of convergence the market is starting to value. The team has demonstrated a relatively consistent delivery capacity according to their roadmap. The current market cap is around $1.12 million, with a circulating volume of 632 million tokens.

Why am I telling you this? Honestly, I missed the opportunity to invest in ionet because of other priorities, and I was looking for solid alternatives. CLORE doesn’t make big buzz like major projects, but that’s precisely what interests me. The potential seems disproportionate compared to the attention it receives.

I’m moderately optimistic about this track, around 10% conviction. Neither the funding nor the full team details are crystal clear at the moment, so everyone should form their own judgment. If you’ve found other interesting projects in the GPU computing rental sector, I’d love to discuss them. Feel free to share!