Direct Answer: With DDR5 and GPU prices rising, you don’t need to buy a $4,000 workstation to run frontier 30B and 70B local AI models. The TradeMAV RAM Pooling AI Hub (RAMDeck, $199) allows you to pool the RAM and GPUs of existing laptops, desktop PCs, Macs, iPhones, and Android phones over your home Wi-Fi or across the internet via built-in Tailscale—giving you a 48 GB to 140 GB+ private AI supercomputer with zero coding.
Why Single-PC Server Apps Can’t Pool Memory
Popular single-PC apps like Ollama or LM Studio let you click “Start Server” to chat from another device, but they do not combine memory across computers. If you try to load a model bigger than that single machine’s RAM, it immediately crashes. RAMDeck solves this by actively splitting model layers across all available machines, letting an older laptop contribute its 12 GB RAM while your desktop GPU handles compute.
Key Features of the RAMDeck Ecosystem
- Dedicated Palm-Sized Router Hub ($199, ships in January): Connects to your router once via Ethernet and runs 24/7 without hogging your primary computer.
- Official Zero-Install Node USB ($29 Value Free): Double-click to activate any PC, then unplug the stick and walk it to the next machine.
- Apple App Store & Google Play Apps: Contribute Apple Silicon unified memory and mobile RAM straight from your phone or tablet.
- Built-In Tailscale Remote GPU Pooling: Pool remote workstations across the internet with zero port forwarding.
Read the full architectural comparison at RAMDeck vs. Exo, Ollama & llama.cpp.
— The TradeMAV Team
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