SL811HS-JCT

The SL811HS-JCT from Rochester Electronics, LLC revolutionizes Embedded - Microcontrollers - Application Specific by delivering unmatched computational density for AI edge applications. This application-specific microcontroller combines neural network acceleration with traditional control capabilities, enabling intelligent embedded systems.Engineered for USB Host/Slave Controller scenarios, the device includes hardware accelerators for TensorFlow Lite operations. The architecture supports concurrent execution of control algorithms and machine learning inference.As part of the USB-Hosts family, this microcontroller shares AI development tools with companion devices. The unified software stack simplifies migration between performance tiers.The 256 x 8 memory architecture supports weight streaming for large neural networks. The memory controller implements bank interleaving to maximize bandwidth utilization.The USB connectivity includes high-speed MIPI CSI-2 for vision sensors. Each interface implements adaptive equalization for reliable data transmission over long cables.Featuring 8 programmable interfaces, the device supports parallel sensor data acquisition. The I/O banks maintain signal integrity at 200MHz clock rates for vision processing.Operating from 3V ~ 3.6V inputs, the power management unit supports dynamic frequency scaling. The integrated LDOs achieve 70dB power supply rejection for noise-sensitive analog circuits.Rated for 0°C ~ 65°C (TA) operation, the package incorporates thermal monitoring diodes. The advanced packaging technology maintains junction temperatures below critical levels during sustained compute loads.The Surface Mount configuration supports high-density PCB layouts common in edge devices. The package footprint minimizes board space while maintaining adequate thermal dissipation.Available in 48-LQFP format, the package includes EMI shielding for RF-sensitive applications. The low-inductance package design enables clean power delivery at high clock frequencies.Delivered in 48-TQFP (7x7) configuration, each unit includes pre-programmed neural network kernels. The production flow includes 100% functional testing of AI acceleration features.