Seeed Technology Co., Ltd 114991684
Normaler Preis
Dhs. 40.95
Normaler Preis
Dhs. 43.08
Verkaufspreis
Dhs. 40.95
| Quantity | Unit Price | Total Price |
|---|---|---|
| 1 | Dhs. 40.95 | Dhs. 40.95 |
| 15+ | Dhs. 39.63 | Dhs. 594.45 |
| 25+ | Dhs. 38.77 | Dhs. 969.25 |
| 50+ | Dhs. 36.62 | Dhs. 1,831.00 |
| 100+ | Dhs. 32.31 | Dhs. 3,231.00 |
| N+ | Dhs. 6.46 | Price Inquiry |
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| Product attributes | Property Value |
| Manufacturer | Seeed Technology Co., Ltd |
| Product Series | Sipeed MAIX-I |
| Packaging | Bulk | |
| Part Status | Obsolete |
| Architecture | MPU |
| Core Processor | RISC-V Dual Core 64bit |
| Flash Size | 8MB/16MB/128MB |
| RAM Size | 8MB |
| Peripherals | DMA, I2S, PWM, WDT |
| Connectivity | I2C, SPI, UART/USART |
| Speed | 600MHz |
| Primary Attributes | Audio Processor (APU), Neural Network Processor (KPU) |
| Operating Temperature | -30°C ~ 85°C |
| Grade | - |
| Qualification | - |
| Package / Case | Module |
| Supplier Device Package | Module |
Sipeed MAIX-I RISC-V AI Development Module
The Sipeed MAIX-I is a powerful AI-capable development module featuring a RISC-V dual core 64-bit processor running at 600MHz. Designed for edge computing and embedded AI applications, this module integrates a Neural Network Processor (KPU) and Audio Processor (APU) to enable advanced machine learning capabilities in compact form factor.
Key Features:
- High-Performance Processing: RISC-V dual core 64-bit architecture at 600MHz
- AI Acceleration: Dedicated Neural Network Processor (KPU) for machine learning inference
- Audio Processing: Built-in Audio Processor (APU) for voice recognition and audio applications
- Flexible Memory: 8MB RAM with configurable flash options (8MB/16MB/128MB)
- Rich Connectivity: I2C, SPI, UART/USART interfaces
- Advanced Peripherals: DMA, I2S, PWM, WDT support
- Wide Operating Range: -30°C to 85°C temperature tolerance
Applications:
Perfect for AI vision systems, voice recognition, IoT edge devices, robotics, and embedded machine learning projects requiring low power consumption and high computational efficiency.
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