Distributed RAM Pooling for AI Inference
Discovery Lens
C Combination Innovation
Two separate worlds finally connect — and the intersection is a product
One-Liner
Software that pools RAM/VRAM across multiple devices on a local network to enable large AI model inference.
Kill Reason
Distributed AI inference across local networks is an active open-source development area — Petals, ExLlamaV2, and llama.cpp all address this problem, and NVIDIA and AMD are solving the same constraint with hardware. The business model is unclear: who pays for software to pool RAM when cloud inference is cheaper and simpler for most use cases?
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