
Delphi Digital|Jul 29, 2025 14:57
Computing is still stuck with expensive cloud monopolies and experiments in decentralization that haven’t lived up to their promises.
@theblessnetwork is building a global supercomputer using idle devices – turning consumer tech into nodes in a distributed computing platform that runs AI models, gaming infra, and more.
No hardware requirements or complicated configurations needed.
Why Distributed Computing Keeps Failing
Traditional networks exclude most users through complexity, specialized hardware requirements, and security concerns.
Even when people join, the tech fails:
• Gaming requires millisecond response times but involves long wait times in practice
• Powerful nodes are bottlenecked while consumer devices sit idle
• Decentralized apps can't match centralized performance
However, Bless takes a fundamentally different approach.
Bless splits AI workloads and other computing functions across multiple everyday devices with model sharding. By distributing workloads across the network, Bless cuts costs compared to expensive CPU/GPU farms.
Adaptive cryptographic verification matches validation to actual needs. Simple calculations get lightweight verification while critical computations receive multiple validation rounds.
The goal is for the network to adapt to real-time conditions to eliminate the bottlenecks that stifle traditional models.
Bless also offers a serverless interface for developers to submit workloads without worrying about infrastructure. This combines the simplicity of centralized services with the resilience of decentralized networks.
If Bless delivers on its promises, traditional edge computing becomes obsolete.
Now in testnet, Bless has surpassed 800 petaFLOPS in compute power, with over 5.4 million nodes registered in 210 countries worldwide.
The testnet numbers are impressive. The architecture looks thoughtful. The timing might finally be right.
But distributed computing has been "almost here" for a decade. Bless needs to prove it's different this time.(Delphi Digital)
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