XC2S50-6PQG208C Overview

In the package 208-BFQFP, this product is provided. Fpga chips consists of FIELD PROGRAMMABLE GATE ARRAY elements. A total of 140 I/Os are programmed to ensure a more coherent data transfer. There are 1728 logic elements/cells to form a fundamental building block. Fpga chips is powered from a supply voltage of 2.5V. Field Programmable Gate Arrays family FPGA part. An attachment Surface Mount allows the FPGA module to be attached to the development board. With a supply voltage of 2.375V~2.625V, this device operates with ease. FPGAs belonging to the Spartan?-II series are a type of FPGA that belong to the Spartan?-II series of FPGAs. Fpga chips is necessary to keep the operating temperature wFpga chipshin 0°C~85°C TJ when the device is operating. A total of 176 outputs are incorporated into this device. Fpga chips is designed to maximiTraye space efficiency by containing the FPGA model in Tray. Fpga chips is designed wFpga chipsh 208 terminations. Fpga chips is important to note that this device has a RAM capacFpga chipsy of 32768 bFpga chipss. For the program to work properly, the RAM si4kBe of this FPGA module must reach 4kB GB in order to ensure normal operation. This cable has 208 pins and is designed to connect to a computer. 384 LABs/CLBs are configured on this FPGA. Having stated that, if this FPGA is mounted in Surface Mount, then it may be able to perform fantastically according to its specifications. In the case of 2.5V supply voltage, designers can take full advantage of its flexibility. Fpga semiconductor is made up of 50000 gates as fpga semiconductors basic building block. This device has a pin count of 208 in fpga semiconductor. In order to make the architecture work, 384 CLBs are used.

XC2S50-6PQG208C Features

140 I/Os
Up to 32768 RAM bits
208 LABs/CLBs

XC2S50-6PQG208C Applications

There are a lot of Xilinx Inc. XC2S50-6PQG208C FPGAs applications.

• ASIC prototyping
• Device controllers
• Cryptography
• Space Applications
• Medical ultrasounds
• Medical Applications
• Data Mining
• High Performance Computing
• ADAS
• Data Center