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MAX78000EXG+
MCU专用32位, 100 MHz, 128 KB RAM/512 KB程序, 0.9 V至1.21 V输入, CTBGA-81
产品范围选择器 (MAX78000 Series Microcontrollers)
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The MAX78000EXG+ is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. As applications demand more intelligence at the edge, this product combines the most energy-efficient AI processing with Maxim's proven ultra-low power microcontrollers. Our hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy. Artificial intelligence (AI) requires extreme computational horsepower, which comes at a cost in terms of power consumption and heat. Maxim is cutting the power cord for AI insights. Suitable for audio processing (multi-keyword recognition, sound classification, noise cancellation), facial recognition, object detection and classification, time-series data processing (heart rate/health signal analysis, multi-sensor analysis, predictive maintenance) applications.
- Dual-core ultra-low power microcontroller
- Arm cortex-M4 processor with FPU up to 100MHz o 512KB flash and 128KB SRAM
- Neural network accelerator
- Highly optimized for deep convolutional neural networks
- 442K 8-bit weight capacity with 1,2,4,8-bit weights
- Power management maximizes operating time for battery applications
- Integrated single-inductor multiple-output (SIMO) switch-mode power supply (SMPS)
- Security and integrity
- Available secure boot
- AES 128/192/256 hardware acceleration engine
- True random number generator (TRNG) seed generator
警告
Market demand for this product has caused an extension in leadtimes. Delivery dates may fluctuate. Product exempt from discounts.
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交付周期内有额外库存， 交付周期大约为 22-7-11
330 UK 有库存，可在 4-5 个工作日内发货
| 数量 | 单价（含增值税） | 您所支付金额（含增值税） |
|---|---|---|
| 1+ | CNY97.30 (CNY109.95) | ( ) |
| 10+ | CNY93.52 (CNY105.68) | ( ) |
| 25+ | CNY91.65 (CNY103.56) | ( ) |
| 50+ | CNY89.78 (CNY101.45) | ( ) |
| 100+ | CNY87.91 (CNY99.34) | ( ) |
定价不可用。 请联系客户服务。
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