AMD Xilinx
XC2V40-4CS144I
XC2V40-4CS144I ECAD Model
XC2V40-4CS144I Attributes
| Type | Description | Select |
|---|---|---|
| Pbfree Code | No | |
| Rohs Code | No | |
| Part Life Cycle Code | Obsolete | |
| Supply Voltage-Nom | 1.5 V | |
| Number of Inputs | 88 | |
| Number of Outputs | 88 | |
| Number of Logic Cells | 576 | |
| Number of Equivalent Gates | 40000 | |
| Number of CLBs | 64 | |
| Combinatorial Delay of a CLB-Max | 440 ps | |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY | |
| Package Shape | SQUARE | |
| Technology | CMOS | |
| Organization | 64 CLBS, 40000 GATES | |
| Clock Frequency-Max | 650 MHz | |
| Power Supplies | 1.5,1.5/3.3,3.3 V | |
| Supply Voltage-Max | 1.575 V | |
| Supply Voltage-Min | 1.425 V | |
| JESD-30 Code | S-PBGA-B144 | |
| Qualification Status | Not Qualified | |
| JESD-609 Code | e0 | |
| Moisture Sensitivity Level | 3 | |
| Peak Reflow Temperature (Cel) | 240 | |
| Time@Peak Reflow Temperature-Max (s) | 30 | |
| Number of Terminals | 144 | |
| Package Body Material | PLASTIC/EPOXY | |
| Package Code | TFBGA | |
| Package Equivalence Code | BGA144,13X13,32 | |
| Package Shape | SQUARE | |
| Package Style | GRID ARRAY, THIN PROFILE, FINE PITCH | |
| Surface Mount | YES | |
| Terminal Finish | Tin/Lead (Sn63Pb37) | |
| Terminal Form | BALL | |
| Terminal Pitch | 800 µm | |
| Terminal Position | BOTTOM | |
| Width | 12 mm | |
| Length | 12 mm | |
| Seated Height-Max | 1.2 mm | |
| Ihs Manufacturer | XILINX INC | |
| Part Package Code | BGA | |
| Package Description | 12 X 12 MM, 0.80 MM PITCH, MO-216BAG-2, CSP-144 | |
| Pin Count | 144 | |
| Reach Compliance Code | not_compliant | |
| ECCN Code | EAR99 | |
| HTS Code | 8542.39.00.01 |
XC2V40-4CS144I Datasheet Download
XC2V40-4CS144I Overview
The chip model XC2V40-4CS144I is a powerful and versatile tool that can be used to develop, design, and implement a wide range of applications. This chip model is one of the latest offerings from Xilinx and is designed to provide high performance and scalability for a variety of applications. It has a wide range of features, including high-speed logic, high-performance memory, and low-power consumption.
The XC2V40-4CS144I is a versatile and powerful chip model that can be used to create a variety of applications. It is capable of providing high-performance and scalability for applications such as robotics, machine learning, and artificial intelligence. This chip model has a variety of features that make it ideal for these applications, such as high-speed logic, high-performance memory, and low-power consumption.
When considering the industry trends of the XC2V40-4CS144I and the future development of related industries, it is important to consider the specific technologies that will be needed. For example, if the application environment requires the support of new technologies, such as machine learning or artificial intelligence, then the chip model must be able to support these technologies. Additionally, the chip model must be able to support the development and popularization of future intelligent robots, which will require specialized technical talents in order to use the model effectively.
In order to understand the chip model XC2V40-4CS144I and its capabilities, it is important to look at the product description and specific design requirements of the chip model. Additionally, it is important to look at actual case studies and precautions when using the chip model. By understanding the product description and design requirements, as well as looking at actual case studies and precautions, it will be easier to understand the capabilities of the chip model and how it can be used for various applications.
Overall, the XC2V40-4CS144I is a powerful and versatile chip model that can be used to create a variety of applications. It is important to consider the specific technologies that will be needed when considering the industry trends of the XC2V40-4CS144I and the future development of related industries. Additionally, it is important to look at the product description and specific design requirements of the chip model, as well as actual case studies and precautions when using the chip model. By understanding the capabilities of the chip model, it will be easier to understand how it can be used for various applications, such as robotics, machine learning, and artificial intelligence.
You May Also Be Interested In
3,638 In Stock
Pricing (USD)
| QTY | Unit Price | Ext Price |
|---|---|---|
| No reference price found. | ||