
Intel Corporation
5SGXEB5R3F40C3G
5SGXEB5R3F40C3G ECAD Model
5SGXEB5R3F40C3G Attributes
Type | Description | Select |
---|---|---|
Part Life Cycle Code | Active | |
Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY | |
Peak Reflow Temperature (Cel) | NOT SPECIFIED | |
Time@Peak Reflow Temperature-Max (s) | NOT SPECIFIED | |
Ihs Manufacturer | INTEL CORP | |
Reach Compliance Code | compliant | |
HTS Code | 8542.39.00.01 | |
ECCN Code | 3A001.A.7.B |
5SGXEB5R3F40C3G Datasheet Download
5SGXEB5R3F40C3G Overview
The chip model 5SGXEB5R3F40C3G is a powerful and versatile tool for developing intelligent systems and applications. It is a multi-core processor with a high-performance, low-power, and low-cost architecture. With its high-performance and low-power consumption, the 5SGXEB5R3F40C3G is suitable for a wide range of applications, from embedded systems to industrial automation, from network applications to intelligent robots.
The 5SGXEB5R3F40C3G is designed to support the latest technologies, such as artificial intelligence, machine learning, and deep learning. This makes it suitable for use in the era of fully intelligent systems, as the chip model can be used to develop and popularize future intelligent robots. It also supports a wide range of network applications, such as 5G, IoT, and cloud computing, allowing it to be used in a variety of intelligent scenarios.
To effectively use the 5SGXEB5R3F40C3G, a variety of technical talents are needed. These include software engineers, hardware engineers, embedded systems engineers, network engineers, and AI engineers. Software engineers are responsible for developing the software applications that are used to control the chip model, while hardware engineers are responsible for designing and building the hardware components that are used to connect the chip model to other devices. Embedded systems engineers are responsible for designing and developing the embedded systems that are used to control the chip model, while network engineers are responsible for developing the networks that are used to connect the chip model to other devices. AI engineers are responsible for developing the algorithms and models that are used to control the chip model.
The 5SGXEB5R3F40C3G is a powerful and versatile tool for developing intelligent systems and applications. It is designed to support the latest technologies, such as artificial intelligence, machine learning, and deep learning, making it suitable for use in the era of fully intelligent systems. With its high-performance and low-power consumption, the 5SGXEB5R3F40C3G is suitable for a wide range of applications, from embedded systems to industrial automation, from network applications to intelligent robots. To effectively use the 5SGXEB5R3F40C3G, a variety of technical talents are needed, including software engineers, hardware engineers, embedded systems engineers, network engineers, and AI engineers. With the right combination of talents and technologies, the chip model 5SGXEB5R3F40C3G can be used to develop and popularize future intelligent robots and networks, and to create a wide range of intelligent scenarios.
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1,084 In Stock






Pricing (USD)
QTY | Unit Price | Ext Price |
---|---|---|
1+ | $27,332.2507 | $27,332.2507 |
10+ | $27,038.3555 | $270,383.5555 |
100+ | $25,568.8797 | $2,556,887.9703 |
1000+ | $24,099.4039 | $12,049,701.9290 |
10000+ | $22,042.1377 | $22,042,137.6750 |
The price is for reference only, please refer to the actual quotation! |