emmc module

Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects. The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording...,USB3.0 High Speed Data Transmission, Allows More USB Peripherals Supports DisplayPort And HDMI High Definition Ports,Color-Coded Header Pins With Clear Labels, Handy For Use

High-Performance AI Computing: The RDK X3 AI Module is powered by the D-Robotics X3 high-performance AI chip, offering both general-purpose and AI computing capabilities at the edge. With 5TOPS of computing power, it supports a range of applications that require intensive processing, including AI-driven tasks. Raspberry Pi CM4 Compatibility: Designed for easy integration, the RDK X3 is fully compatible with the Raspberry Pi CM4, allowing users to quickly deploy and integrate the module into their existing Raspberry Pi-based projects and products. Video Encoding/Decoding: The module supports 4K@60fps video encoding and decoding, ensuring high-quality video output for multimedia applications, making it ideal for projects involving video processing and display. Versatile Connectivity: It offers a wide array of interfaces, including HDMI, Gigabit Ethernet, USB 3.0, MIPI CSI, and MIPI DSI, providing flexibility for peripheral devices and external connectivity. Customizable Specifications: The module comes with configurable options for wireless connectivity, RAM, and eMMC storage, allowing users to choose the specifications that best suit their specific needs for more efficient and tailored solutions.

[Kleiner und leistungsstarker Geek] youyeetoo X1 ist ein sehr kostengünstiger X86-Einplatinencomputer für Industriesteuerungen, Bastler, Heimwerker und Geeks. Angetrieben durch Intel 11. Generation 4 Core CPU N5105 (bis zu 2,90 GHz), die Größe beträgt nur 115 x 75 mm, genau die Größe Ihrer Handfläche. Als kleine Server, Edge Computing, Smart Center. [Unterstützt Dual 4K HDR und 3-Wege-Videoausgang] youyeetoo X1 mit HDMI 2.0, Mirco HDMI 2.0 und MIPI-DSI.Einer für das Büro, einer für die Unterhaltung und einer für die Personalisierung. Tägliche Arbeit, Unterhaltung, Heimwerken können leicht erfüllt werden. [Drahtlose Netzwerke] M.2 E Schlüsselerweiterung. Unterstützt WIFI(2.4G/5G)+Bluetooth dual-band. Angepasstes WIFI5+BT5.0, WIFI6+BT5.2.Unterstützt 4G LTE. Dank der extremen Skalierbarkeit können Sie sowohl drinnen als auch draußen kabellos im Internet surfen. [LAN und PoE-Stromversorgung] Onboard-Gigabit-WAN-Port, unterstützt 24 W PoE (802.3AT) Stromversorgung (Standard), optionales 60 W / 72 W PoE-Hochleistungsstromversorgungsmodul (kundenspezifisch). Beginnen Sie mit industriellen Anwendungen, um die Schwierigkeiten bei der Bereitstellung zu verringern und die Kosten zu senken. [Reichhaltige Peripherieschnittstelle] Das X1-Motherboard verfügt über USB3.0 x2, USB2.0 x2, UART x3, IIC x1, SPI x1, GPIO x5, RTC x1.Die kleine Größe enthält eine große Kapazität, die wunderbare Ideen ermöglicht und unbegrenzte Möglichkeiten erweitert.

8GB RAM, 32GB eMMC Flash, without WIFI Raspberry Pi Compute Module 5 is a system on module (SoM) that delivers the power of Raspberry Pi 5 in a compact form factor, integrates a quad-core Arm Cortex-A76 processor, providing a variety of RAM and eMMC flash options, supports power circuitry and a rich set of interfaces. Compute Module 5 enables you to leverage Raspberry Pi 5's powerful hardware and optimised software stack in your own custom systems and form factors. Upgraded processor BCM2712, quad-core Cortex-A76 64-bit SoC, more powerful performance More options for RAM (2GB / 4GB / 8GB / 16GB) More options for eMMC Flash (0GB (Lite) / 8GB / 16GB / 32GB / 64GB) Faster eMMC Flash storage, up to 200 Mbps data rate Optional for certified radio module, supports either PCB trace antenna or external antenna, more suitable for industrial applications Adopts B to B connectors, most compatible with Compute Module 4 Onboard Gigabit Ethernet PHY supporting IEEE1588, suitable for network applications Onboard PCIe Gen 2 x1 interface, allows connecting more useful modules

8GB RAM, 0GB eMMC Flash, with WIFI Raspberry Pi Compute Module 5 is a system on module (SoM) that delivers the power of Raspberry Pi 5 in a compact form factor, integrates a quad-core Arm Cortex-A76 processor, providing a variety of RAM and eMMC flash options, supports power circuitry and a rich set of interfaces. Compute Module 5 enables you to leverage Raspberry Pi 5's powerful hardware and optimised software stack in your own custom systems and form factors. Upgraded processor BCM2712, quad-core Cortex-A76 64-bit SoC, more powerful performance More options for RAM (2GB / 4GB / 8GB / 16GB) More options for eMMC Flash (0GB (Lite) / 8GB / 16GB / 32GB / 64GB) Faster eMMC Flash storage, up to 200 Mbps data rate Optional for certified radio module, supports either PCB trace antenna or external antenna, more suitable for industrial applications Adopts B to B connectors, most compatible with Compute Module 4 Onboard Gigabit Ethernet PHY supporting IEEE1588, suitable for network applications Onboard PCIe Gen 2 x1 interface, allows connecting more useful modules

Onboard-40-PIN-GPIO-Schnittstelle und Standard-CM5-Anschluss. Unterstützt den Zugriff auf Kernplatinen der Compute Module 5 Lite-/eMMC-Serie.

Onboard-40-PIN-GPIO-Schnittstelle und Standard-CM5-Anschluss. Unterstützt den Zugriff auf Kernplatinen der Compute Module 5 Lite-/eMMC-Serie.

Wichtig: Bewertungsset für Hersteller und Entwickler: Dies ist ein modulares SoM-Bewertungs-Kit für Ingenieure und Heimwerker, kein gebrauchsfertiger Mini-PC. Das Kit enthält das Mu-Modul (N100, 8 GB LPDDR5, 64 GB eMMC), ein Lite Carrier Board und einen aktiven Kühler. Bitte beachten Sie: 12V-20V Netzteil ist NICHT im Lieferumfang enthalten. Es ist für erfahrene Entwickler optimiert, um sie in benutzerdefinierte NAS, Enterprise-Router oder professionelle IoT-Projekte zu integrieren. [UNLEASH x86 POWER WITH INTEL N100] Equipped with the Intel N100 processor (up to 3.4GHz). Dieses x86-Rechenmodul liefert die doppelte Multi-Core-Leistung herkömmlicher ARM-basierter SBCs und bewältigt komplexe Rechenaufgaben mühelos. Einstellbare TDP (6W-35W) sorgt für eine optimale Balance zwischen passiver Kühlung mit geringer Leistung und Spitzenleistung. Ultimative Erweiterbarkeit über PCIe 3.0: Das mitgelieferte Lite Carrier Board ermöglicht eine unvergleichliche Erweiterbarkeit mit bis zu 9 PCIe 3.0 Lanes. Dies unterstützt den direkten Anschluss von dedizierten Grafikkarten (GPU), mehreren 2,5 G/10 G Netzwerkschnittstellenkarten (NIC), Standard-SATA-Laufwerken und bis zu 64 GPIOS – bietet ein Maß an Anpassung, das standardmäßige Mini-PCs nicht erreichen können. [System-auf-Modul-Design & Offen-Source] Der LattePanda Mu befreit sich von festen IO-Beschränkungen und verfügt über eine flexible SoM-Architektur. Open-Source-KiCAD-Trägerplatinen-Designdateien werden bereitgestellt, um die Forschungs- und Entwicklungszeit für B2B-Ingenieure drastisch zu reduzieren. Dies erleichtert das nahtlose Design von benutzerdefinierten Sockelleisten für Robotik, industrielle Controller oder intelligente Kioske. [NATIVE X86-UNTERSTÜTZUNG | WINDOWS 10, 11 & LINUX] Im Gegensatz zu ARM-Boards, die oft mit Softwareportierung zu kämpfen haben, garantiert die x86-Architektur ein nahtloses natives Erlebnis. Mit robuster Unterstützung für Windows 10, Windows 11, Ubuntu läuft das Modul mühelos Standard-PC-Spiele, professionelle Industriesoftware oder lokale KI-Anwendungen ohne Kompatibilitätskopfschmerzen.

Onboard-40-PIN-GPIO-Schnittstelle und Standard-CM5-Anschluss. Unterstützt den Zugriff auf Kernplatinen der Compute Module 5 Lite-/eMMC-Serie.

[Rockchip RK3588 SoC] NanoPC-T6 PLUS Powered by the Rockchip RK3588 Quad-core 64-bit processor, integrating a Mali-G610 MP4 GPU and a 6 TOPS NPU, delivering significantly enhanced bandwidth and power efficiency for edge computing, AI inference, and demanding multitasking. Onboard 64GB eMMC flash ensures fast system responsiveness. [Comprehensive M.2 Expansion] NanoPC-T6 PLUS Equipped with one PCIe 3.0 x4 (M-Key) interface for high-speed NVMe SSDs, one M.2 E-Key interface for WiFi modules, and a newly added M.2 B-Key interface that directly supports 4G LTE modules without additional adapters. TF card boot is also supported, offering flexible storage expansion options. [Dual 2.5G Ethernet + 4G Connectivity] NanoPC-T6 PLUS Features dual PCIe 2.5G Ethernet ports combined with newly added 4G cellular connectivity. The large LPDDR5 memory ensures smooth handling of multi-port network throughput and local AI processing, providing an ideal platform for developing enterprise-grade multi-NIC edge computing systems. [8K Video Codec & Dual Display] NanoPC-T6 PLUS Supports 8K@60fps H.265/VP9 decoding and 8K@30fps H.264 decoding, as well as 4K@60fps H.265 video encoding. Equipped with dual HDMI output interfaces and an HDMI input interface, along with MIPI-DSI and MIPI-CSI, enabling flexible construction of multi-display interaction, video capture, and digital media application systems. [Open-Source OS Ecosystem] NanoPC-T6 PLUS Supports booting from TF card and is compatible with multiple operating systems including FriendlyWrt, Android 14, Debian, Ubuntu (desktop versions included), Proxmox VE, and OpenMediaVault. Whether building a soft router, lightweight NAS, or running a headless server, suitable software solutions are available. [WIKI] "wiki.friendlyelec.com/wiki/index.php/NanoPC-T6 PLUS", if you have any questions, please click on "WayPonDEV Tech!". and ask questions, or contact us at wpd#youyeetoo&com (#→@ &→.) .

[Octa-Core RK3588 Processor with NPU] NanoPC-T6 LTS Features a Rockchip RK3588 SoC (4×Cortex-A76 up to 2.4GHz + 4×Cortex-A55 1.8GHz) with an integrated 6 TOPS NPU. This hardware supports AI edge computing tasks such as object recognition and can be used as a smart IoT gateway. [4GB/8GB RAM & 64GB eMMC Storage] 4GB/8GB LPDDR4X memory and 64GB onboard eMMC provide sufficient resources for running Linux distributions (Debian/Ubuntu) or Android. A MicroSD card slot allows additional storage for operating system images or data. [Dual 2.5GbE LAN & Wireless Slot] Two 2.5 Gigabit Ethernet ports and one M.2 E-Key slot (PCIe 2.1 x1 / USB 2.0) enable this single-board computer to be configured as a wired soft router, firewall, or NAS. The E-Key slot supports installing a WiFi/Bluetooth module for wireless connectivity. [M.2 M-Key NVMe SSD Support] The M.2 M-Key slot with PCIe 3.0 x4 lanes accepts NVMe SSDs, delivering data transfer speeds up to 2,500 MB/s. This expansion is suitable for hosting a high-performance file server or media library. [8K Display Output & 4K Video Capture] Dual HDMI 2.1 outputs support up to 8K@60Hz for digital signage or multi-display productivity. One HDMI 2.0 input captures video at up to 4K@60fps. A 40-pin GPIO header and multiple USB 3.0/2.0 ports provide connectivity for sensors and peripherals

[Amlogic A311D Soc] Das Einplatinen-Computermodul Banana Pi BPI-CM4 verwendet Amlogic A311D Quad-Core ARM Cortex-A73, Dual-Core ARM Cortex-A53 CPU, Malii-G52 MP4 GPU, neuronale Verarbeitungseinheit mit 5 TOPS Leistung. [Leistungsstarke Speichererweiterung] Das Computermodul Banana Pi BPI-CM4 verfügt über 4 GB LPDDR4 an Bord, 16 GB eMMC-Flash, die maximale Unterstützung beträgt 128 GB; Es unterstützt das WLAN-Modul WIFI5 (RTL8822CS). [Kompatibel mit Raspberry Pi CM4] Nehmen Sie das B-zu-B-Steckverbinderdesign an, um die Stabilität zu verbessern, genau wie beim RasPi CM4, nachdem es an die E/A-Platine angeschlossen wurde, unterstützt es Gigabit-Ethernet. [Flexible Skalierbarkeit] 1 × HDMI, 1 × CSI, 1 × DSI-Schnittstelle (Raspberry Pi CM4 mit x2), 1 PCIe-Erweiterungsschnittstelle, kann verwandte Module flexibel erweitern, j hat 100-Pin-GPIO-Pinbelegung, unterstützt den Anschluss an IO-Board Nach dem Hochladen kann 26Pins GPIO unterstützen. [Unterstützt Raspberry Pi CM4 Baseboard] Banana Pi BPI-CM4 ist ein Amlogic A311D-Computermodul, das die gleiche Größe wie das Raspberry Pi CM4-Modul hat, es hat auch die gleichen Anschlussstifte, was bedeutet, dass es mit dem Raspberry Pi CM4 kompatibel sein sollte, das für die Arbeit mit entwickelt wurde das lasttragende Brett. [Wiki] "https://wiki.banana-pi.org/Getting_Started_with_CM4"; Bei After-Sales-Problemen kontaktieren Sie uns bitte, indem Sie auf WayPonDEV Store klicken und eine Frage stellen oder die Nachricht in unserem Forum unter "forum.youyeetoo .com /" hinterlassen.

[Rockchip RK3588 SoC] NanoPC-T6 PLUS Powered by the Rockchip RK3588 Quad-core 64-bit processor, integrating a Mali-G610 MP4 GPU and a 6 TOPS NPU, delivering significantly enhanced bandwidth and power efficiency for edge computing, AI inference, and demanding multitasking. Onboard 64GB eMMC flash ensures fast system responsiveness. [Comprehensive M.2 Expansion] NanoPC-T6 PLUS Equipped with one PCIe 3.0 x4 (M-Key) interface for high-speed NVMe SSDs, one M.2 E-Key interface for WiFi modules, and a newly added M.2 B-Key interface that directly supports 4G LTE modules without additional adapters. TF card boot is also supported, offering flexible storage expansion options. [Dual 2.5G Ethernet + 4G Connectivity] NanoPC-T6 PLUS Features dual PCIe 2.5G Ethernet ports combined with newly added 4G cellular connectivity. The large LPDDR5 memory ensures smooth handling of multi-port network throughput and local AI processing, providing an ideal platform for developing enterprise-grade multi-NIC edge computing systems. [8K Video Codec & Dual Display] NanoPC-T6 PLUS Supports 8K@60fps H.265/VP9 decoding and 8K@30fps H.264 decoding, as well as 4K@60fps H.265 video encoding. Equipped with dual HDMI output interfaces and an HDMI input interface, along with MIPI-DSI and MIPI-CSI, enabling flexible construction of multi-display interaction, video capture, and digital media application systems. [Open-Source OS Ecosystem] NanoPC-T6 PLUS Supports booting from TF card and is compatible with multiple operating systems including FriendlyWrt, Android 14, Debian, Ubuntu (desktop versions included), Proxmox VE, and OpenMediaVault. Whether building a soft router, lightweight NAS, or running a headless server, suitable software solutions are available. [WIKI] "wiki.friendlyelec.com/wiki/index.php/NanoPC-T6 PLUS", if you have any questions, please click on "WayPonDEV Tech!". and ask questions, or contact us at wpd#youyeetoo&com (#→@ &→.) .

⭐Comprehensive Accessories⭐: Includes Jetson Nano Module Core Board, Jetson Nano Expansion Board, 64GB micro TF card, card reader and official cooler for multiple AI applications. It is almost the same as B01, and can be compatible with the expansion board and case of B01 official KIT. ⭐High Resolution Camera⭐: additionally equipped with an 8 MP HD camera that supports facial recognition, road marking recognition and license plate recognition. ⭐Stable storage⭐: The Nano core board comes with 16GB eMMC, which is stable for reading and writing, and does not require an external micro TF card as a system boot disk, which is sufficient for installing system images and meeting general development and learning requirements. However, the 64GB mirco TF card provided meets the storage capacity of complex development projects. ⭐Multiple interface support⭐: Support 2-way CSI camera, ideal for binocular parallax algorithm distance measurement, face recognition, live body detection, recording VR video and other applications that require binocular vision, and support 4K dual-screen output (DisplayPort and HDMI). ⭐Rich connectivity⭐: four USB 3.2 Gen 1 ports and colorful 40PIN GPIO ports make it easy to connect to a variety of peripherals, and the functions are clear at a glance.

2GB RAM, 16GB eMMC Flash, without WIFI Raspberry Pi Compute Module 5 is a system on module (SoM) that delivers the power of Raspberry Pi 5 in a compact form factor, integrates a quad-core Arm Cortex-A76 processor, providing a variety of RAM and eMMC flash options, supports power circuitry and a rich set of interfaces. Compute Module 5 enables you to leverage Raspberry Pi 5's powerful hardware and optimised software stack in your own custom systems and form factors. Upgraded processor BCM2712, quad-core Cortex-A76 64-bit SoC, more powerful performance More options for RAM (2GB / 4GB / 8GB / 16GB) More options for eMMC Flash (0GB (Lite) / 8GB / 16GB / 32GB / 64GB) Faster eMMC Flash storage, up to 200 Mbps data rate Optional for certified radio module, supports either PCB trace antenna or external antenna, more suitable for industrial applications Adopts B to B connectors, most compatible with Compute Module 4 Onboard Gigabit Ethernet PHY supporting IEEE1588, suitable for network applications Onboard PCIe Gen 2 x1 interface, allows connecting more useful modules Rich WiKi Resources: We provide official Wiki resources, please contact us for more information.

Standard CM4 Socket And Color-Coded Raspberry Pi 40PIN GPIO Header Suitable For Compute Module 4 Lite/EMMC Series Module Providing Interfaces Including: ETH/CSI/DSI/RTC/HDMI/Micro SD/USB Suitable For Evaluating The Raspberry Pi CM4 Or Being Integrated Into End Products MicroSD card socket for Compute Module 4 Lite (without eMMC) variants compute module 4 raspberry pi development board

[Rockchip RK3588 SoC] NanoPC-T6 PLUS Powered by the Rockchip RK3588 Quad-core 64-bit processor, integrating a Mali-G610 MP4 GPU and a 6 TOPS NPU, delivering significantly enhanced bandwidth and power efficiency for edge computing, AI inference, and demanding multitasking. Onboard 64GB eMMC flash ensures fast system responsiveness. [Comprehensive M.2 Expansion] NanoPC-T6 PLUS Equipped with one PCIe 3.0 x4 (M-Key) interface for high-speed NVMe SSDs, one M.2 E-Key interface for WiFi modules, and a newly added M.2 B-Key interface that directly supports 4G LTE modules without additional adapters. TF card boot is also supported, offering flexible storage expansion options. [Dual 2.5G Ethernet + 4G Connectivity] NanoPC-T6 PLUS Features dual PCIe 2.5G Ethernet ports combined with newly added 4G cellular connectivity. The large LPDDR5 memory ensures smooth handling of multi-port network throughput and local AI processing, providing an ideal platform for developing enterprise-grade multi-NIC edge computing systems. [8K Video Codec & Dual Display] NanoPC-T6 PLUS Supports 8K@60fps H.265/VP9 decoding and 8K@30fps H.264 decoding, as well as 4K@60fps H.265 video encoding. Equipped with dual HDMI output interfaces and an HDMI input interface, along with MIPI-DSI and MIPI-CSI, enabling flexible construction of multi-display interaction, video capture, and digital media application systems. [Open-Source OS Ecosystem] NanoPC-T6 PLUS Supports booting from TF card and is compatible with multiple operating systems including FriendlyWrt, Android 14, Debian, Ubuntu (desktop versions included), Proxmox VE, and OpenMediaVault. Whether building a soft router, lightweight NAS, or running a headless server, suitable software solutions are available. [WIKI] "wiki.friendlyelec.com/wiki/index.php/NanoPC-T6 PLUS", if you have any questions, please click on "WayPonDEV Tech!". and ask questions, or contact us at wpd#youyeetoo&com (#→@ &→.) .

Dieses kostengünstige Linux-Entwicklungsboard basiert auf dem Modul der Core3506-Serie und bietet Entwicklern eine einfache und effiziente...

Dieses kostengünstige Linux-Entwicklungsboard basiert auf dem Modul der Core3506-Serie und bietet Entwicklern eine einfache und effiziente...

Basierend auf dem Modul der Core3506-Serie ist dieses kostengünstige Linux-Entwicklungsboard so konzipiert, dass es Entwicklern eine einfache...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

Basierend auf dem Modul der Core3506-Serie ist dieses kostengünstige Linux-Entwicklungsboard so konzipiert, dass es Entwicklern eine einfache...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

Compute Module 4 harnesses the compute power of the popular Pi 4 Model B, bringing it to a smaller form factor suitable for integration into products. with completely upgraded processor BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC, more powerful performance High Speed, Large RAM, Low Power, Boosted Performance. with 8GB eMMC Flash and competent 8GB RAM for large-scale data compilation Option for fully certified radio module, the same one used on Pi4B, also come with heatsink and Antenna, more suitable for industrial applications. Adopts B to B connectors, more stable than the Goldfinger edge connector of previous generations Features dual video output, and a wide selection of interfaces. Onboard new Gigabit Ethernet PHY supporting IEEE1588, suitable for network applications. Onboard new PCIe Gen 2 x1 interface, allows connecting more useful modules. With 2.4GHz/5GHz Dual-band high Speed WiFi and BT5.0 BLE Raido Module, Surf the Web Anywhere Now

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...

WiFi 6 und -Modul, integriertes 2,4-GHz-WiFi6- und BT5.2/BLE--Modul, stabile Verbindung, effiziente übertragung Single-Core ARM Cortex-A7...