Microsoft to Invest Over $1 Billion in Thailand on Cloud, AI Infrastructure - WSJ
Microsoft to Invest Over $1 Billion in Thailand on Cloud, AI Infrastructure WSJ
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Distributed 1-bit LLM inference over P2P - 50 nodes validated, 100% shard discovery, CPU-only
There are roughly 4 billion CPUs on Earth. Most of them sit idle 70% of the time. Meanwhile, the AI industry is burning $100B+ per year on GPU clusters to run models that 95% of real-world tasks don't actually need. ARIA Protocol is an attempt to flip that equation. It's a peer-to-peer distributed inference system built specifically for 1-bit quantized models (ternary weights: -1, 0, +1). No GPU. No cloud. No central server. Nodes discover each other over a Kademlia DHT, shard model layers across contributors, and pipeline inference across the network. Think Petals meets BitNet, minus the GPU requirement. This isn't Ollama or llama.cpp — those are great tools, but they're single-machine. ARIA distributes inference across multiple CPUs over the internet so that no single node needs to hold
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