Direct Answer: When everyday users search for how to run massive 30B, 70B, or 120B AI models at home without buying a $2,000 graphics card, they usually run into three very different options: Option A (Ollama) only shares one computer’s chat window without combining RAM; Option B (Exo and llama.cpp RPC) requires command-line terminals or lacks native Windows and official mobile app store installers; and Option C (RAMDeck) provides a 100% click-and-play hardware hub, Zero-Install Portable Node USB, and official Apple App Store and Google Play apps.
New 10-Chapter Book Live on Amazon & Free Online: Pool the RAM You Already Own
To give builders, students, and small offices a complete blueprint for distributed local AI, The TradeMAV Team has just published Pool the RAM You Already Own: A Practical Guide to Running Large AI Models Privately Across the Computers and Phones in Your Home (ISBN: 979-8-16746-277-9):
- Free Complete Web Edition: Read all 10 chapters free at ramdeck.com/book/
- Amazon Kindle Edition ($2.99): Available now on Amazon Kindle (ASIN: B0HQ62KXZV)
- Amazon Paperback Edition ($9.99): Available in print on Amazon (ASIN: B0HQ66CG3R)
Option A vs. Option B vs. Option C: What Actually Combines RAM?
As detailed in RAMDeck’s comprehensive Consumer Distributed AI comparison guide and Chapter 3 of the book:
- Option A — Single-Machine Sharing (Ollama / LM Studio): Setting
OLLAMA_HOST=0.0.0.0lets your phone or laptop type prompts into a desktop PC over Wi-Fi, but 100% of the model must still fit inside that single desktop PC’s memory. It does not combine RAM across devices. - Option B — DIY Developer Frameworks (Exo &
llama.cpp RPC):llama.cpp RPCcombines memory across Windows, Mac, and Linux, but requires typing terminal commands, finding local IP addresses, and managing ports manually. Meanwhile, Exo focuses on macOS and Linux developers without a native Windows desktop installer or official App Store / Google Play apps. - Option C — Click-and-Play Hardware Hub & Official Mobile Apps (RAMDeck): The palm-sized RAMDeck Hardware Hub plugs into your home router and automatically pools memory across Windows PCs (
.exe), Macs (.dmg), Linux machines (.deb), borrowed laptops via the Zero-Install Portable Node USB, and iPhones, iPads, and Android phones via official App Store and Google Play apps.
Read the full Option A vs. Option B vs. Option C technical comparison, grab the book on Amazon Kindle ($2.99) or Paperback ($9.99), or reserve the RAMDeck Hardware Hub on Indiegogo ($159 Launch Special + Free $29 Node USB through November 9).
— The TradeMAV Team
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