FEMDNN016G-A3A55

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FEMDNN016G-A3A55

FORESEE EMMC

  • 제조업체
  • Mfr.부분 #FEMDNN016G-A3A55
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  • 재고 있음4671

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배송 준비 24 시간

365 일 보장

RFQ 및더 많은 할인

사양

Part Status Obsolete
Packaging Tray

개요

Description

There isn’t a widely published standard device named FEMDNN016G-A3A55. It sounds like a vendor-specific edge-AI/inference module, possibly combining a DNN accelerator (FEMDNN) with an Arm Cortex-A55 core (A55) and some on‑board memory (016G). Without a datasheet, I can only give a generic intro: it’s likely intended for embedded/edge AI inference with emphasis on low power and low latency.
What to verify in a real spec sheet:
- Compute: DNN/AI accelerator performance (TOPS) and supported networks/frameworks
- Processor: number of Cortex-A55 cores, clock speeds
- Memory: size/bandwidth, on-board DRAM
- Interfaces: PCIe/USB/SD, memory, camera sensors
- Power and temp: typical/max power, operating range
- Package/connector: form factor, pinouts, thermal requirements
If you can share the vendor name, a link to the datasheet, or image of the label, I can give a precise, concrete introduction and specs.

Features

I can’t locate an exact datasheet for FEMDNN016G-A3A55. Please share the manufacturer or a link to the datasheet. If this is a Cortex-A55 + DNN accelerator device, the typical features you’d expect are:
- CPU: ARM Cortex-A55 multicore (Armv8-A)
- AI: on-chip DNN/NN accelerator for inference
- Memory: external memory interfaces (e.g., LPDDR4/4x or DDR4)
- Storage: eMMC/NAND/SD card support
- I/O: USB 2.0/3.x, PCIe, Gigabit Ethernet, SPI/I2C/UART, CAN
- Video/Camera: MIPI CSI-2/DSI, ISP; supports up to high-definition/4K video
- Graphics: integrated GPU (e.g., Mali) on some SKUs
- Security: TrustZone, crypto accelerators, secure boot
- Power: DVFS and multiple power domains for efficiency
- Package/thermal: typically BGA or QFN with standard thermal solution
Note: these are typical features; exact specs depend on the vendor and exact SKU.

Manufacturer

I can’t identify the manufacturer from the part number FEMDNN016G-A3A55 alone. Please share a link to a datasheet, a product page, or a photo of the packaging/logo. With that, I can name the manufacturer and describe the company (e.g., whether it’s a fabless semiconductor designer, an integrated device manufacturer, or an electronics components supplier).

Application

Typical application areas:
- Edge AI inference and DNN acceleration
- Embedded vision and image/video processing
- Smart IoT gateways and devices
- Robotics and automation
- Industrial control and monitoring
- On-device speech and AI workloads

배송

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배송 요금 참조 (DHL/FedEx):

DHL은: 배송 비용은 $25-$45 (0.5kg)에서 2-5 영업일의 추정적 배달 시간이 있습니다.

FedEx는: 배송 비용은 $25-$40 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.

UPS는: 배송 비용은 $25-$45 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.

TNT는: 배송 비용은 $25-$65 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.

EMS는: 배송 비용은 $30-$50 (0.5kg)에서 7-15 영업일의 추정적 배달 시간을 제공합니다.

등록된 항공우편: 배송 비용은 $2-$4 (0.1kg), 예상 배달 시간 5-20 영업일.

지불

Payment Methods

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