OpenJarvis: Personal AI, on Personal Devices

Market Trends & Industry Dynamics - Personal artificial intelligence is becoming central to daily work, though most current systems continue to operate within cloud infrastructure [1] - Local open-weight models trail frontier cloud models by 6 to 12 months in capabilities, while consumer hardware accelerators currently support open-weight models ranging from 1 to 128 billion parameters [4] Investment Opportunities & Cost Efficiency - Operating personal artificial intelligence on-device substantially reduces daily expenditure, achieving up to an 800x reduction in financial cost and significantly lowering latency compared to cloud-only stacks [21] - Collaborating with cloud resources allows local models ranging from 20 to 30 billion active parameters to rival closed-source frontier models while reducing daily operational costs by 7x to 11x [23][24]