One of the most critical developers I know when it comes to reviewing GitHub projects took a look at solana:B4Y82ba22eF5KLhaRBfGHkfnxAM2UzLxfHcLWH3epump
His thoughts:
"I really like the idea. If it's built properly, I'd use it myself."
"The technology and optimizations they chose are exactly what I would have used for this type of project."
His only real concern is the token itself:
"The only thing I can really question is the existence of the token 😅. But maybe this is one of those 1 in 10,000 projects that actually makes a utility token work long term."
As he understands it, the project is building a decentralized GPU compute network:
People with powerful GPUs can share their unused compute when they're not gaming or running AI.
Users who need GPU power for AI or other workloads can rent that idle compute instead of buying expensive hardware or paying for costly GPU hosting.
GPU providers earn from their idle resources, while users get access to cheaper compute.
He even compared the concept to something he saw over 20 years ago, where dozens of office PCs were connected together to reduce 3D rendering times from months to about a week.
His conclusion:
"I like the idea because, if it scales well, it could significantly reduce the cost of running local AI. The big question is how they've solved data security, but with good engineering and AI, it's definitely possible."
@computenet_sh
solana:B4Y82ba22eF5KLhaRBfGHkfnxAM2UzLxfHcLWH3epump
Introducing Compute
B4Y82ba22eF5KLhaRBfGHkfnxAM2UzLxfHcLWH3epump
AI's demand for inference is exploding. The answer is closer to home than you think.
A decentralized network that turns everyday devices into the engine for AI. Run a node, earn $CPU. 🧵