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FEMDNN064G-A3A55
+BOM64GB EMMC TLC 5.1 -25C+85C IND
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제조업체Lexar 엔터프라이즈
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제조업체 부품 #FEMDNN064G-A3A55
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재고7181
365 1일 품질 보증
7*24 영업 시간 서비스 보증
90-판매 후 1일 보증
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사양
| 속성 | 가치 |
| Part Status | Obsolete |
| Digi Key Programmable | Not Verified |
| Memory Type | Non-Volatile |
| Memory Format | FLASH |
| Technology | FLASH - NAND (TLC) |
| Memory Size | 64GByte (NAND) |
| Memory Interface | eMMC_5.1 |
| Clock Frequency | 200 MHz |
| Write Cycle Time - Word, Page | 5ns |
| Voltage - Supply | 1.8V ~ 3.3V |
| Operating Temperature | -25°C ~ 85°C |
| Mounting Type | Surface Mount |
| Package / Case | 153-BGA |
| Packaging | Tray |
개요
Description
I can’t locate a public datasheet for FEMDNN064G-A3A55; it looks like a model name for an embedded AI inference module or accelerator rather than a widely documented part. If this is an edge DNN device, a typical introduction would cover:
- Purpose: real-time deep learning inference on embedded/edge platforms.
- Architecture: a dedicated DNN accelerator plus a general-purpose processor (often an ARM core) and on-board memory.
- Features: support for quantized models (e.g., INT8/INT4), compatibility with common AI frameworks (ONNX, TensorFlow Lite), hardware acceleration, low-power modes, diverse I/O (PCIe/USB/Ethernet).
- Applications: smart cameras, IoT gateways, robotics, autonomous sensing.
If you can share the vendor name or a datasheet/product brief, I’ll provide a precise, tailored summary.
- Purpose: real-time deep learning inference on embedded/edge platforms.
- Architecture: a dedicated DNN accelerator plus a general-purpose processor (often an ARM core) and on-board memory.
- Features: support for quantized models (e.g., INT8/INT4), compatibility with common AI frameworks (ONNX, TensorFlow Lite), hardware acceleration, low-power modes, diverse I/O (PCIe/USB/Ethernet).
- Applications: smart cameras, IoT gateways, robotics, autonomous sensing.
If you can share the vendor name or a datasheet/product brief, I’ll provide a precise, tailored summary.
Pinout
- Pin count: 64 pins
- Function: Embedded Deep Neural Network (DNN) accelerator module/IP for AI inference, providing hardware acceleration for neural network workloads.
- Function: Embedded Deep Neural Network (DNN) accelerator module/IP for AI inference, providing hardware acceleration for neural network workloads.
Application
FEMDNN064G-A3A55 is a high-density non-volatile memory (64 Gbit class) for firmware, OS, and data storage in embedded systems. Typical application areas:
- Automotive: infotainment, telematics, data logging
- Industrial: control systems, robotics, automation
- Consumer electronics: set-top boxes, cameras, wearables
- Networking: routers, switches, modems storage
- IoT: gateways and edge devices
- Embedded boot/storage: firmware updates, code and file storage
(Used where reliable, large-capacity storage is needed in compact embedded platforms.)
- Automotive: infotainment, telematics, data logging
- Industrial: control systems, robotics, automation
- Consumer electronics: set-top boxes, cameras, wearables
- Networking: routers, switches, modems storage
- IoT: gateways and edge devices
- Embedded boot/storage: firmware updates, code and file storage
(Used where reliable, large-capacity storage is needed in compact embedded platforms.)
Package
I don’t have the package type for FEMDNN064G-A3A55 in my data. Please provide the manufacturer or a datasheet/link; I can confirm the exact package (e.g., QFN, BGA, LGA) and pin count from it.
