DFR1252

DFRobot
426-DFR1252
DFR1252

Mfr.:

Description:
Raspberry Pi Hats / Add-on Boards DX-M1 AI Accelerator M.2 delivers 25 TOPS (INT8) in an M.2 2280 form factor at 25W. Features 4GB LPDDR5 and PCIe Gen3 x4 for low-latency edge AI. Compatible with Raspberry Pi 5, LattePanda, x86/ARM; supports PyTorch, ONNX, TensorFlow via DXNN SDK.

Lifecycle:
New Product:
New from this manufacturer.
Product available only to OEM/EMS and design business customers. Product is not shipped to consumers in the EU or the UK. This product will require additional documentation to export from the United States.

In Stock: 4

Stock:
4 Can Dispatch Immediately
Factory Lead Time:
4 Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
-,-- €
Ext. Price:
-,-- €
Est. Tariff:
This Product Ships FREE

Pricing (EUR)

Qty. Unit Price
Ext. Price
155,40 € 155,40 €

Product Attribute Attribute Value Select Attribute
DFRobot
Product Category: Raspberry Pi Hats / Add-on Boards
Delivery Restrictions:
 Product available only to OEM/EMS and design business customers. Product is not shipped to consumers in the EU or the UK. This product will require additional documentation to export from the United States.
Raspberry Pi HAT
AI Accelerator
PCIe
Raspberry Pi 5
3.3 V
- 25 C
+ 85 C
80 mm x 22 mm x 4.1 mm
Brand: DFRobot
Packaging: Bulk
Product Type: Interface Modules
Subcategory: Computing
Unit Weight: 20 g
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Attributes selected: 0

Compliance Codes
CAHTS:
8543700000
USHTS:
8543709860
JPHTS:
854370000
ECCN:
EAR99
Origin Classifications
Country of Origin:
China
Assembly Country of Origin:
Not available
Country of Diffusion:
Not available
The country is subject to change at the time of shipment.

DX-M1 AI Accelerator M.2 Module

DFRobot DX-M1 AI Accelerator M.2 Module delivers server-class edge computing power with 25 TOPS (INT8) of inference performance in a standard M.2 2280 form factor. The DX-M1 offers 4GB LPDDR5 memory and a PCIe Gen3 x4 interface, allowing low-latency processing and seamless compatibility with Raspberry Pi 5, LattePanda, and various x86/Arm® platforms.