Product: A203 Version 2 Carrier Board Brand: Seeed Studio NVIDIA Gigabit Ethernet: RJ45 Gigabit Ethernet Connector (10/100/1000) DC Power: DC Input Power TE Connector Compact size (87mm x 52mm x 26mm) saves precious space Compact & all-in-one design
Intel? Pentium? N4200/ Celeron? N3350/ Atom E3950 ?? Processor SoC Onboard LPDDR4 4GB Memory Onboard eMMC 32GB Storage Gigabit LAN x 1, HDMI x 1, USB 3.2 Gen 1 (Type A) x 3 12V DC-in, 5A 40 pin GPIO x 1 6 pin wafer for Audio x 1
Intel? Pentium? N4200/ Celeron? N3350 Processor SoC Onboard 2GB LPDDR4 Memory Onboard 32GB eMMC Storage Gigabit LAN x 2, USB 2.0 x 2, USB 3.0 (Type A) x 3 5V DC-in, 4-6A 40 pin GPIO x 1 DP/eDP/HDMI x 1 MIPI-CSI (4-Lane & 2-Lane) x 1
Expansion Connector- Connection to BeagleBone / BeagleBone Black UART- Hardware UART to PRU Subsystem Sensors-Temperature sensor monitoring using a 1-wire interface Audio-Audio jack connection output GPIO-Dual GPIO push-button switch LEDs- Bank of PRU0 & PRU1 LEDs
TI AM5729 Dual-Core ARMCortex-A15 processor running at 1.5GHz Dual C66 DSP, Four ARM Cortex-M4, Four PRU, and Four Embedded Vision Engine Four Programmable Real-time Units (PRUs) Memory: 1GB RAM and 16GB on-board eMMC Flash Connectivity: Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth USB-C for power and superspeed dual-role controller
High performance and low power consumption features of Intel? Celeron??, Pentium?? and Atom?? Processors (codename Apollo Lake) FPGA multifunction switching capability plus numerous I/O GPU is supporting 4K Codec Decode and Encode for HEVC4, H.264 and VP8. LPDDR4 Max 8G and eMMC Max 128G on the board. Scalable IO module integration Supports Windows 10, Windows IoT Core, Ubilinux, Ubuntu, Yocto…
CPU: Intel Celeron N5105 @2.0~2.9GHz, 4 Core and 4M Cache 8GB LPDDR4 @2933MHz RAM 64GB eMMC M.2 M key (support NVMe SSD), M.2 B key (support SATA SSD,4G & 5G Module) WiFi 6 @2.4Gb/s ?? Bluetooth 5.2 Co-Processor: Arduino Leonardo USB Type C ?? USB 2.0 (Pin header) HDMI 2.0b, Display port 1.4 via USB-C, eDP Dimension: 125mm x 78mm…
LattePanda Sigma supports multiple display outputs. The Intel Core i5-1340P processor has 12 cores and 16 threads. Turbo frequency of 4.60 GHz and 3.4 GHz.
Mini PC Chassis Design Compatible With Both Version Original and B01 Special Camera Holder Comes With Reset and Power Button Precise Openings for GPIO??s, TF Card Slot, External Ports.
Product: AI edge computer AI Performance: 275 TOPS (INT8) GPU: NVIDIA Ampere architecture with 2048 NVIDIAn CUDA cores and 64 Tensor Cores Max GPU Freq: 1 GHz CPU: 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 CPU Max Freq: 2 GHz
8 Core Arm v8.2 64 bit CPU 512 Core Volta GPU Dual NVDLA Engines as DL Accelerator 7-way VLIW Vision Processor Check out the range of next-generation AI products?Click here
Developer Kit for the Jetson TX2 module, Includes Jetson TX2 module with NVIDIA Pascal GPU, ARM 128-bit CPUs, 8 GB LPDDR4, 32 GB eMMC, Wi-Fi and BT Ready The AI solution for autonomous machines. THE MOST ADVANCED PLATFORM FOR AI AT THE EDGE NVIDIA Pascal Embedded module loaded with 8GB of memory and 58.4 GB/s of memory bandwidth Wi-Fi and…
