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A311D
+БОМ-
ПроизводительАмлогик (CA)
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Мфр. Часть #A311D
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В наличии13482
365 Дни гарантии качества
7*24 часы обслуживания каранти
90-гарантия послепродажного дня
Гарантия подлинного продукта
Спецификации
| Атрибут | Ценность |
| Manufacturer | Amlogic(CA) |
| Package / Case | FCBGA-454 |
Обзор
Description
Key highlights:
- Supports 4K@60fps decoding (H.265/VP9) and encoding (H.264).
- Integrated 5 TOPS NPU for AI tasks like object detection and image processing.
- Interfaces include USB 3.0, PCIe, Gigabit Ethernet, and HDMI 2.1.
- Used in TV boxes, AIoT devices, and industrial applications.
The A311D is ideal for developers needing high-efficiency AI acceleration and multimedia capabilities in embedded systems.
Equivalent
- Rockchip RK3588 (higher performance)
- Amlogic S922X (similar class)
- NVIDIA Jetson Xavier NX (AI/edge focus)
- Qualcomm QCS8250 (AI/edge applications)
These alternatives offer similar or better performance for AI, multimedia, and edge computing. Exact equivalents depend on use case (e.g., AI, GPU, or power efficiency).
Features
- Neural Processing Unit (NPU): 5 TOPS (INT8) AI performance for efficient deep learning tasks.
- CPU: Quad-core ARM Cortex-A73 (up to 2.2GHz) + dual-core Cortex-A53 (up to 1.8GHz).
- GPU: ARM Mali-G52 MP4 (up to 800MHz) for graphics processing.
- Memory: Supports LPDDR4/LPDDR4X up to 8GB.
- Connectivity: Gigabit Ethernet, USB 3.0, PCIe 2.0, HDMI 2.1, and MIPI-CSI/DSI.
- AI Frameworks: Supports TensorFlow, Caffe, ONNX, and more.
- Process: 12nm FinFET for power efficiency.
- Applications: Smart displays, robotics, AI cameras, and edge AI devices.
Compact, efficient, and versatile, the A311D excels in real-time AI inference and multimedia processing.
Pinout
- Pin Count: Typically packaged in a 12×12 mm, 0.5 mm pitch, 311-pin BGA (Ball Grid Array).
- Key Functions:
- CPU: Quad-core ARM Cortex-A73 + dual-core Cortex-A53.
- GPU: ARM Mali-G52 MP8.
- AI Acceleration: 5 TOPS NPU for machine learning.
- Memory: Supports LPDDR4/LPDDR4X.
- Video: 4K@60fps decoding (H.265, VP9), 1080p encoding.
- Connectivity: USB 3.0, PCIe, Gigabit Ethernet, HDMI 2.1.
- I/O: MIPI-CSI/DSI, SPI, I2C, UART, GPIOs.
Used in AI edge devices, smart displays, and set-top boxes.
Manufacturer
Amlogic is a fabless company, meaning it designs chips but outsources manufacturing to foundries like TSMC. It competes with brands like Rockchip and Allwinner in the consumer electronics market.
Application
1. Edge Computing – Real-time processing in IoT devices, smart cameras, and drones.
2. Autonomous Driving – Supports ADAS and autonomous vehicle decision-making.
3. Robotics – Enhances AI-driven navigation and object recognition.
4. Smart Surveillance – Enables facial recognition and behavior analysis.
5. Industrial AI – Optimizes predictive maintenance and quality inspection.
6. Healthcare – Aids in medical imaging and diagnostics.
Its low power consumption and high efficiency make it ideal for embedded AI applications.