MT8371LV/AZA

MediaTek
840-MT8371LV/AZA
MT8371LV/AZA

Mfr.:

Description:
Processors - Application Specialised Genio 420 Main Application Processor

Lifecycle:
New Product:
New from this manufacturer.
ECAD Model:
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Availability

Stock:
0

You can still purchase this product for backorder.

On Order:
500
Expected 30/06/2026
Factory Lead Time:
8
Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
-,-- €
Ext. Price:
-,-- €
Est. Tariff:
Packaging:
Full Reel (Order in multiples of 1500)

Pricing (EUR)

Qty. Unit Price
Ext. Price
Cut Tape / MouseReel™
29,51 € 29,51 €
23,08 € 230,80 €
22,05 € 551,25 €
19,71 € 1.971,00 €
18,81 € 4.702,50 €
18,20 € 9.100,00 €
18,19 € 18.190,00 €
Full Reel (Order in multiples of 1500)
18,17 € 27.255,00 €
† A MouseReel™ fee of 5,00 € will be added and calculated in your basket. All MouseReel™ orders are non-cancellable and non-returnable.

Product Attribute Attribute Value Select Attribute
MediaTek
Product Category: Processors - Application Specialised
RoHS:  
SMD/SMT
Genio 420
Arm Cortex-A55
64 kB
Reel
Cut Tape
MouseReel
Brand: MediaTek
L2 Cache Instruction / Data Memory: 256 kB
Memory Type: LPDDR5
Moisture Sensitive: Yes
Product Type: Processors - Application Specialized
Factory Pack Quantity: 1500
Subcategory: Processors - Application Specialized
Tradename: Genio
Watchdog Timers: Watchdog Timer
Products found:
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Attributes selected: 0

Compliance Codes
ECCN:
5A992.C
Origin Classifications
Country of Origin:
Not available
Assembly Country of Origin:
Not available
Country of Diffusion:
Not available
The country is subject to change at the time of shipment.

Genio 420 GenAI Capable IoT Platform

MediaTek Genio 420 GenAI Capable Internet of Things (IoT) Platform is engineered for embedded applications that require reliable, low-power edge AI and GenAI. Built on an advanced 6nm process technology, the Genio 420 integrates an 8th-generation MediaTek NPU with 6.1 TOPS of acceleration (7.2 TOPS Total System) for handling complex AI tasks. These tasks include object detection, image classification, and speech recognition, as well as on-device support for GenAI applications and leading LLMs (Large Language Models). This feature enables real-time, low-latency AI inference on the edge, reducing reliance on cloud-based processing.