STM32MP215DAN3

STMicroelectronics
511-STM32MP215DAN3
STM32MP215DAN3

Mfr.:

Description:
Microprocessors - MPU MPU with Arm Cortex-A35 at 1.5GHz, Cortex-M33 at 300MHz, 2xEthernet, 2xFD-CAN, Parallel display, CSI2
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Lifecycle:
New Product:
New from this manufacturer.
Datasheet:
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In Stock: 200

Stock:
200
Can Dispatch Immediately
On Order:
960
Expected 11/05/2026
Factory Lead Time:
13
Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
$-.--
Ext. Price:
$-.--
Est. Tariff:

Pricing (USD)

Qty. Unit Price
Ext. Price
$16.68 $16.68
$13.09 $130.90
$12.55 $313.75
$11.06 $1,106.00
$9.48 $2,370.00
$9.25 $4,625.00
$9.24 $8,870.40
5,760 Quote

Product Attribute Attribute Value Select Attribute
STMicroelectronics
Product Category: Microprocessors - MPU
RoHS:  
ARM Cortex A35, ARM Cortex M33
1 Core
32 bit/64 bit
300 MHz, 1.5 GHz
VFBGA-273
32 kB
32 kB
1.71 V to 3.6 V
STM32MP2
SMD/SMT
- 40 C
+ 125 C
Tray
Brand: STMicroelectronics
Data RAM Size: 648 kB
Data ROM Size: 196 kB
Instruction Type: Floating Point
Interface Type: CAN, Ethernet, I2C, I2C, I2S, SPI, UART, USART
L2 Cache Instruction / Data Memory: 128 kB
Memory Type: L1/L2 Cache, ROM, SRAM
Moisture Sensitive: Yes
Number of I/Os: 123 I/O
Number of Timers/Counters: 18 x 16 bit, 4 x 32 bit
Processor Series: STM32MP215
Product Type: Microprocessors - MPU
Factory Pack Quantity: 960
Subcategory: Microprocessors - MPU
Tradename: STM32
Watchdog Timers: Watchdog Timer, Windowed
Unit Weight: 220 mg
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Attributes selected: 0

Datasheet

PCN

CAHTS:
8542310000
USHTS:
8542310050
TARIC:
8542319000
ECCN:
5A992.C

STM32MP25 Microprocessors

STMicroelectronics  STM32MP25 Microprocessors are second-generation MPUs that provide high performance with a 64-bit platform. The STMicroelectronics  STM32MP25 devices are tailored for robustness in industrial settings. Featuring an NPU accelerator, the MPUs offer advanced edge AI capabilities and flexibility to run AI applications on the CPU, GPU, or NPU. The STM32MP25 supports high-end edge computing applications like machine vision, leveraging multimedia capabilities. This is made possible by the comprehensive ST Edge AI ecosystem.

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