Intel EP2C70F672C8N
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- EP2C70F672C8N
- Intel
- IC FPGA 422 I/O 672FBGA
- Embedded - FPGAs (Field Programmable Gate Array)
- EP2C70F672C8N Datasheet
- 672-BGA
- 672-BGA
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Lead free / RoHS Compliant - 2855
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What is EP2C70F672C8N
Intel Part Number EP2C70F672C8N（Embedded - FPGAs (Field Programmable Gate Array)）, developed and manufactured by Intel, distributed globally by Jinftry. We distribute various electronic components from world-renowned brands and provide one-stop services, making us a trusted global electronic component distributor.
EP2C70F672C8N is one of the part numbers distributed by Jinftry, and you can learn about its specifications/configurations, package/case, Datasheet, and other information here. Electronic components are affected by supply and demand, and prices fluctuate frequently. If you have a demand, please do not hesitate to send us an RFQ or email us immediately [email protected] Please inquire about the real-time unit price, Data Code, Lead time, payment terms, and any other information you would like to know. We will do our best to provide you with a quotation and reply as soon as possible.
EP2C70F672C8N Specifications
- Part NumberEP2C70F672C8N
- CategoryEmbedded - FPGAs (Field Programmable Gate Array)
- ManufacturerIntel
- DescriptionIC FPGA 422 I/O 672FBGA
- Package672-BGA
- SeriesCyclone® II
- Voltage - Supply1.15 V ~ 1.25 V
- Operating Temperature0°C ~ 85°C (TJ)
- Mounting TypeSurface Mount
- Package / Case672-BGA
- Supplier Device Package672-FBGA (27x27)
- Number of I/O422
- Number of LABs/CLBs4276
- Number of Logic Elements/Cells68416
- Total RAM Bits1152000
Application of EP2C70F672C8N
EP2C70F672C8N Datasheet
EP2C70F672C8N Datasheet , 672-BGA,Cyclone® II,1.15 V ~ 1.25 V,0°C ~ 85°C (TJ),Surface Mount,672-BGA,672-FBGA (27x27),422,4276,68416,1152000
EP2C70F672C8N Classification
Embedded - FPGAs (Field Programmable Gate Array)
FAQ about Embedded - FPGAs (Field Programmable Gate Array)
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1. What is FPGA Field Programmable Gate Array?
FPGA (Field Programmable Gate Array) is a semiconductor device that allows users to change and configure the internal connection structure and logic units of the device through software means after manufacturing to complete the digital integrated circuit of the established design function. FPGA consists of programmable logic resources, programmable interconnection resources and programmable input and output resources, and is mainly used to implement sequential logic circuits with state machines as the main feature.
FPGA is a product further developed on the basis of programmable devices such as [PAL (Programmable Array Logic) and GAL (General Array Logic). As a semi-custom circuit in the field of application-specific integrated circuits (ASIC), it not only solves the shortcomings of customized circuits, but also overcomes the shortcomings of the limited number of gate circuits of the original programmable devices. FPGA realizes a unique method of digital circuits by providing programmable hardware blocks and interconnections that can be configured to perform various tasks, making hardware development more flexible. -
2. Is FPGA a microcontroller?
FPGA is not a microcontroller. There are significant differences between FPGA and microcontroller in terms of function and use.
FPGA is a programmable integrated circuit, which is programmed through hardware description language and can customize the circuit according to needs. It is very suitable for application scenarios that require flexible configuration and high performance. In contrast, microcontrollers (MCUs) are integrated circuits with preset functions, usually used for single tasks and requiring efficient execution.
FPGAs and MCUs also differ in structure and application scenarios. FPGAs offer great flexibility and are suitable for complex applications that require rapid prototyping and reconfigurability. On the other hand, MCUs combine processor cores, memory, and various peripherals in a single chip, designed for specific tasks, and provide cost-effective solutions. -
3. Is FPGA good for AI ?
FPGAs are good for AI. FPGAs offer a variety of advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility.
The main advantages of FPGAs in the field of AI include:
High performance and low latency: FPGAs offer low latency as well as deterministic latency, which is critical for many applications with strict deadlines, such as real-time applications such as speech recognition, video streaming and action recognition.
Cost-effectiveness: FPGAs can be reprogrammed for different data types and functions after manufacturing, which creates value compared to replacing applications with new hardware. By integrating additional functions onto the same chip, designers can reduce costs and save board space.
Energy efficiency: FPGAs enable designers to fine-tune hardware according to application requirements, using techniques such as INT8 quantization to reduce memory and computing requirements, thereby reducing energy consumption.
Flexibility and customization: FPGA can be optimized at the hardware level for specific algorithms, reducing unnecessary computing and storage overhead. For example, AMD's Alveo V80 accelerator card uses Versal FPGA adaptive SoC and HBM technology to provide efficient computing power.
In summary, FPGA has significant advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility, making it an ideal solution in AI applications.
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