110991188

Seeed Studio
713-110991188
110991188

Fabricante:

Descripción:
Tableros y Juegos de Desarrollo - Otros procesadores Sipeed M1w dock suit

En existencias: 46

Existencias:
46 Se puede enviar inmediatamente
Mínimo: 1   Múltiples: 1
Precio unitario:
$-.--
Precio ext.:
$-.--
Est. Tarifa:

Precio (USD)

Cantidad Precio unitario
Precio ext.
$31.68 $31.68

Atributo del producto Valor de atributo Seleccionar atributo
Seeed Studio
Categoría de producto: Tableros y Juegos de Desarrollo - Otros procesadores
Development Boards
RISC-V
K210
Marca: Seeed Studio
Ancho de bus de datos: 64 bit
Dimensiones: 60 mm x 43 mm x 5 mm
Tipo de producto: Development Boards & Kits - Other Processors
Cantidad de empaque de fábrica: 1
Subcategoría: Development Tools
Peso de la unidad: 57.388 g
Productos encontrados:
Para mostrar productos similares, seleccione al menos una casilla de verificación
Seleccione al menos una de las casillas de verificación anteriores para mostrar productos similares en esta categoría.
Atributos seleccionados: 0

CNHTS:
8543709990
CAHTS:
8473302000
USHTS:
8473301180
MXHTS:
8473300401
ECCN:
3A991.a

Sipeed M1w Dock Suit K210 Development Board

Seeed Studio Sipeed M1w Dock Suit K210 Development Board is designed for Edge computing. The Seeed Studio MAIX is Sipeed's purpose-built module designed to run AI at the edge called AIoT. This module delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge. The RV64 AI board features a 28nm process, dual-core RISC-V 64-bit IMAFDC, and a huge on-chip 8MB high-speed SRAM with a 400MHz frequency processor. The Sipeed MAIX is like Google Edge TPU but acts as a master controller, not an accelerator like Edge TPU. This makes its cost and power less than the AP+edge TPU solution, and the competitive price makes it possible to embed it in any IoT device. The MAIX combines custom hardware, open software, and state-of-the-art AI algorithms to provide high-quality, easy-to-deploy AI solutions for the edge. This board can be used for predictive maintenance, machine vision, robotics, manufacturing, healthcare, retail, smart spaces, and transportation.