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I Own 4 Devices—Why Am I Shopping for RAM? How to Run 70B AI Models, Local Coding Agents & Remote GPUs on Hardware You Already Own

Direct Answer: Most households and developers already own 32GB to Plug-and-Play Portable+ of RAM spread across a desktop, laptop, MacBook, and smartphone. Instead of shopping for overpriced RAM sticks or paying monthly cloud coding API fees, see how RAMDeck combines every device you own—plus remote GPUs over built-in Tailscale—into one unified AI cluster.

RAMDeck Remote GPU over Built-In Tailscale

1. I Own 4 Devices at Home—Why Am I Shopping for RAM?

See how RAMDeck pools memory over Wi-Fi or Ethernet across Windows, macOS, Linux, Android, and iOS in 60 seconds (read the Plug-and-Play Guide):

2. Run a 70B AI Model Locally Without Buying a Plug-and-Play Portable Machine

A 70-billion-parameter model needs ~40GB to Plug-and-Play Portable of RAM. Watch how RAMDeck fills your GPU first and spreads the rest across your other devices automatically (read the 70B Memory Guide):

3. Run Your AI Coding Assistant on Your Own Hardware (Continue & Cline)

Plug your pooled local cluster straight into Continue, Cline, or any OpenAI-compatible IDE tool with zero API fees (read the Local Coding Agent Guide):

4. Bonus: Borrow a Remote GPU Miles Away Over Built-In Tailscale (31 tok/s)

Watch our 7-minute A/B test running an 18GB 30B model across a local 12GB RTX 3060 Mini PC and a remote MacBook Air miles away over Tailscale at 31 tokens/sec (full benchmark guide):

Order RAMDeck & Get the Book: Order the RAMDeck Hardware Hub direct (134% funded on Indiegogo, ships January with 1 Free Official RAMDeck Node USB) at ramdeck.com, or read Pool the RAM You Already Own on Amazon Paperback and Kindle.

— The TradeMAV Team

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