Ditching the cloud for local AI — how I use two mini PCs to process millions of tokens a day and save money on costly API fees
Leading creative applications are opening Model Context Protocol (MCP) connections that let AI agents work inside the tools where scenes, shots, timelines, assets and edits come to life — while creators stay in control.
Ditching the cloud for local AI — how I use two mini PCs to process millions of tokens a day and save money on costly API fees
Leading creative applications are opening Model Context Protocol (MCP) connections that let AI agents work inside the tools where scenes, shots, timelines, assets and edits come to life — while creators stay in control.
Leading creative applications are opening Model Context Protocol (MCP) connections that let AI agents work inside the tools where scenes, shots, timelines, assets and edits come to life — while creators stay in control.
Ditching the cloud for local AI — how I use two mini PCs to process millions of tokens a day and save money on costly API fees
Ditching the cloud for local AI — how I use two mini PCs to process millions of tokens a day and save money on costly API fees
Think of a professional athlete. What separates elite performers is what happens between games: continuous refinement, adjusting to new opponents and sharpening skills based on what the last game exposed.
Think of a professional athlete. What separates elite performers is what happens between games: continuous refinement, adjusting to new opponents and sharpening skills based on what the last game exposed.
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platf…
