Cypress Semiconductor Corp CY96F636RBPMC-GS-UJE1
Изображение только для справки, пожалуйста, обратитесь к спецификации продукта
- CY96F636RBPMC-GS-UJE1
- Cypress Semiconductor Corp
- IC MCU 16BIT 288KB FLASH 80LQFP
- Embedded - Microcontrollers
- CY96F636RBPMC-GS-UJE1 Лист данных
- 80-LQFP
- Tray
-
Lead free / RoHS Compliant - 27192
- Запасы спот / разрешенные дилеры / излишки на заводе
- Гарантия качества на 1 год 》
- Нажмите, чтобы узнать цены
Службы доставки:
Способы оплаты:
| Part Number CY96F636RBPMC-GS-UJE1 |
| Category Embedded - Microcontrollers |
| Manufacturer Cypress Semiconductor Corp |
| Description IC MCU 16BIT 288KB FLASH 80LQFP |
| Package Tray |
| Series F²MC-16FX MB96630 |
| Operating Temperature -40°C ~ 125°C (TA) |
| Mounting Type Surface Mount |
| Package / Case 80-LQFP |
| Supplier Device Package 80-LQFP (12x12) |
| Voltage - Supply (Vcc/Vdd) 2.7V ~ 5.5V |
| Speed 32MHz |
| Number of I/O 64 |
| EEPROM Size - |
| Core Processor F²MC-16FX |
| RAM Size 24K x 8 |
| Core Size 16-Bit |
| Connectivity CANbus, I²C, LINbus, SCI, UART/USART |
| Peripherals DMA, LVD, POR, PWM, WDT |
| Program Memory Size 288KB (288K x 8) |
| Program Memory Type FLASH |
| Data Converters A/D 21x8/10b SAR |
| Oscillator Type Internal |
| Package_case 80-LQFP |
CY96F636RBPMC-GS-UJE1 Гарантии
• Ответьте оперативно
• Гарантированное качество
• Глобальный доступ
• Конкурентоспособная рыночная цена
• Универсальные услуги цепочки поставок
Jinftry, это ваш самый надежный поставщик компонентов, добро пожаловать, чтобы отправить нам запрос, спасибо!
У вас есть вопросы о CY96F636RBPMC-GS-UJE1 ?
Не стесняйтесь связаться с нами:
+86-755-82518276
+8615019224070, annies65, +8615118125813
568248857, 827259012, 316249462
+8615019224070, +8615118118839, +8615118125813
( Электронная почта в первую очередь )
CY96F636RBPMC-GS-UJE1 сопутствующие товары
Комментарии
Cypress Semiconductor Corp
CY8C4546AXI-S475
IC MCU 32BIT 64KB FLASH 64TQFP
CY9BF364KQN-G-AVE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY9BF364LQN-G-AVE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY96F646RBPMC-GS-UJE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY96F646RBPMC-GS-105UJE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY96F646RBPMC-GS-106UJE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY96F693ABPMC-GS-UJE2
IC MCU 32BIT 64KB FLASH 64TQFP
CY96F693ABPMC-GS109-UJE2
IC MCU 32BIT 64KB FLASH 64TQFP
battery charger
Battery charger according to the design circuit operating frequency to divide, can be divided into power frequency machine and high frequency machine. The power frequency machine is designed based on the traditional analog circuit principle, the internal power devices (such as transformers, inductors, capacitors, etc.) are larger, and there is generally less noise when the load is larger, but the model has strong resistance performance in the harsh grid environmental conditions, and the reliabil
What is the difference between FPGA and GPU
Difference Between FPGA and GPU
FPGA (field programmable gate array) and GPU (graphics processing unit) are two common hardware accelerators used to increase computing and processing speed. Although they overlap in many ways, there are many differences in architecture, design, and application. In this article, we will explore the differences between FPGAs and GPUs in detail.
How a programmable gate array (FPGA) works, its architecture, and how to program it
How a programmable gate array (FPGA) works, its architecture, and how to program it
Programmable Gate Array (FPGA, Field-Programmable Gate Array) is an integrated circuit that designers can program according to their needs after purchase. It includes a series of logic blocks and reconfigurable interconnections that allow designers to customize specific logic functions, data paths, or other specific circuit functions at the hardware level.
NVIDIA A100 80GB PCIe, A100 80GB SXM TENSOR CORE GPU is available in stock
Basic specifications of the NVIDIA A100 (these figures may vary by specific model and configuration):
GPU architecture: Ampere
Number of SMs: 108
Number of CUDA cores: 6912
Number of second-generation RT cores: 108
Number of third-generation Tensor cores: 432
Base Clock Frequency: 1410 MHz
Boost Clock Frequency: 1560 MHz
Memory size: 40GB or 80GB of HBM2
Memory bandwidth: 1555 GB/s (40GB version) or 2039 GB/s (80GB version)
Memory interface width: 5120 bits (40GB version) or 6144 bit
