Las imágenes son solo para referencia
A311D
- Fabricante
- Mfr. Parte #A311D
- Paquete
- Hoja de datos
- En stock13482
100% original & Nuevo
24 horas listos para el envío
Garantía de 365 días
RFQ y Obtenga más descuentos
Especificaciones
| Manufacturer | Amlogic(CA) |
| Package | FCBGA-454 |
Descripción general
Description
Students would engage in discussions, complete assignments, and develop analytical skills, preparing them for more specialized topics in subsequent courses. Overall, the introduction aims to familiarize students with the scope and significance of the subject within the broader academic landscape.
Features
1. Architecture: ARM Cortex-A55, providing enhanced power efficiency and performance.
2. Multi-Core Support: Typically supports multiple cores for parallel processing, improving multitasking capabilities.
3. Integrated GPU: Often paired with a Mali-G52 or similar GPU for advanced graphics rendering and gaming.
4. AI and Machine Learning: Integration of AI acceleration for real-time processing and analytics.
5. Memory Support: Supports LPDDR4/LPDDR4X RAM, enabling faster data access and improved performance.
6. Connectivity: Equipped with high-speed interfaces like USB 3.0, PCIe, and HDMI for versatile connectivity options.
7. Power Efficiency: Designed for low power consumption, making it suitable for mobile and embedded devices.
8. Security Features: Includes hardware-based security features for enhanced protection of data and applications.
These features make the A311D suitable for a variety of applications, including IoT devices, smart home technology, and multimedia processing.
Package
Pinout
The primary functions of the A311D include:
1. AI Inference: Optimized for deep learning tasks and neural networks, enabling efficient processing of AI workloads.
2. Multimedia Processing: Supports high-resolution video processing and real-time image recognition.
3. Data Processing: Capable of handling large datasets with high throughput, suitable for edge computing applications.
4. Connectivity: Provides various I/O options for integration with different peripherals and systems.
Its architecture is designed to support versatile applications in AI, including smart devices, autonomous systems, and efficient data centers.
Manufacturer
Application
Equivalent
Envío
Métodos de envíoNosotros
ofrecer servicios de envío globales a través de DHL, FedEx, TNT, UPS, o cualquier otro expediente de su elección.
Referencia de tarifas de envío (DHL/FedEx):
DHL: El costo de envío oscila entre $25-$45 (0.5kg), con un tiempo de entrega estimado de 2-5 días hábiles.
FedEx: El costo de envío oscila entre $25-$40 (0.5kg), con un tiempo de entrega estimado de 3-7 días hábiles.
UPS: El costo de envío oscila entre $25-$45 (0.5kg), con un tiempo de entrega estimado de 3-7 días hábiles.
TNT: El costo de envío oscila entre $25-$65 (0.5kg), con un tiempo de entrega estimado de 3-7 días hábiles.
EMS: El costo de envío oscila entre $30-$50 (0.5kg), con un plazo de entrega estimado de 7-15 días hábiles.
Correo aéreo registrado: El costo de envío es de $2-$4 (0.1kg), con un tiempo de entrega estimado de 5-20 días hábiles.
Pagos
Payment Methods
El plazo de pago es 100% prepagado.
Actualmente, solo aceptamos los siguientes métodos de pago:
1. de PayPal
2. Tarjeta de crédito/débito
3. Transferencia bancaria
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