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Documents

    Documents are markdown text files which describe project goals, capture details, or even simulation outputs.

    Assets

    Sym_QFN50P200X200X75-10N.svg

    Sym_QFN50P200X200X75-10N.svg

    Sym_QFN50P200X200X75-10NDefault
    stp

    3D_QFN50P200X200X75-10N.stp

    3D_QFN50P200X200X75-10N3D Model
    kicad_mod

    Foot_QFN50P200X200X75-10N.kicad_mod

    Foot_QFN50P200X200X75-10NFootprint
    Thumb_QFN50P200X200X75-10N.png

    Thumb_QFN50P200X200X75-10N.png

    Thumb_QFN50P200X200X75-10NThumbnail

    CAP-10UF

    CAP-10UF thumbnail
    The Ariel AI chip prototype is an advanced electronic component designed for integration into the Flux AI environment, facilitating simulation and testing of AI applications. This component features a collection of carefully selected parts including a DC power supply (DCPS-5V), NPN transistors (NPN-TRANS-001 and NPN-TRANS-002), resistors (RES-1K and RES-1K-002), a capacitor (CAP-10UF), and a cutting-edge CPU (CPU-RT-4C-2G) with a 4-core architecture, operating at a clock speed of 2GHz. The CPU's innovative radical transistor architecture is specifically tailored for high-performance computing tasks associated with AI and machine learning applications. This configuration ensures efficient power management, signal processing, and data flow within the chip, making it an ideal choice for developers and engineers looking to push the boundaries of AI technology. The inclusion of standard components like NPN transistors, resistors, and capacitors, alongside the specialized CPU, allows for a versatile and robust design, suitable for a wide range of AI applications.

    Properties

    IC

    Unknown

    CAP-10UF

    U

    RoHS,REACH,Conflict Minerals

    QFN50P200X200X75-10N

    Pricing & Availability

    Distributor

    Qty 1

    Controls