
AMD Xilinx
XQV2000E-6FG1156N
XQV2000E-6FG1156N ECAD Model
XQV2000E-6FG1156N Attributes
Type | Description | Select |
---|---|---|
Rohs Code | No | |
Part Life Cycle Code | Not Recommended | |
Supply Voltage-Nom | 1.8 V | |
Number of Inputs | 804 | |
Number of Outputs | 804 | |
Number of Logic Cells | 43200 | |
Number of Equivalent Gates | 2541952 | |
Number of CLBs | 9600 | |
Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY | |
Screening Level | 38535Q/M;38534H;883B | |
Temperature Grade | MILITARY | |
Package Shape | SQUARE | |
Technology | CMOS | |
Organization | 9600 CLBS, 2541952 GATES | |
Clock Frequency-Max | 357.2 MHz | |
Power Supplies | 1.2/3.6,1.8 V | |
Supply Voltage-Max | 1.89 V | |
Supply Voltage-Min | 1.71 V | |
JESD-30 Code | S-PBGA-B1156 | |
Qualification Status | Not Qualified | |
JESD-609 Code | e0 | |
Moisture Sensitivity Level | 3 | |
Operating Temperature-Max | 125 °C | |
Operating Temperature-Min | -55 °C | |
Peak Reflow Temperature (Cel) | 225 | |
Time@Peak Reflow Temperature-Max (s) | 30 | |
Number of Terminals | 1156 | |
Package Body Material | PLASTIC/EPOXY | |
Package Code | BGA | |
Package Equivalence Code | BGA1156,34X34,40 | |
Package Shape | SQUARE | |
Package Style | GRID ARRAY | |
Surface Mount | YES | |
Terminal Finish | TIN LEAD | |
Terminal Form | BALL | |
Terminal Pitch | 1 mm | |
Terminal Position | BOTTOM | |
Width | 35 mm | |
Length | 35 mm | |
Seated Height-Max | 2.6 mm | |
Ihs Manufacturer | XILINX INC | |
Part Package Code | BGA | |
Package Description | PLASTIC, FPBGA-1156 | |
Pin Count | 1156 | |
Reach Compliance Code | not_compliant | |
ECCN Code | 3A001.A.2.C | |
HTS Code | 8542.39.00.01 |
XQV2000E-6FG1156N Datasheet Download
XQV2000E-6FG1156N Overview
The chip model XQV2000E-6FG1156N is a revolutionary new technology that has the potential to revolutionize the way we think about networks and intelligent systems. This chip model is the latest in a series of advanced chips that have been developed to provide improved performance for tasks such as artificial intelligence, machine learning, and natural language processing. It is designed to provide an efficient and cost-effective solution for a wide range of applications.
The XQV2000E-6FG1156N chip model is a versatile and powerful tool for building intelligent systems. It is capable of handling a wide range of tasks, from basic data processing to more complex tasks such as image recognition and natural language processing. The chip model also offers a high degree of flexibility, allowing for the development of custom algorithms and applications.
The XQV2000E-6FG1156N chip model is suitable for use in a variety of network and intelligent scenarios. It can be used to create intelligent robots and autonomous vehicles, as well as to build systems that can interact with humans in natural language. It can also be used to develop and improve the accuracy of machine learning algorithms.
In addition to its potential applications in networks and intelligent systems, the XQV2000E-6FG1156N chip model can also be used to develop and popularize future intelligent robots. This chip model is capable of handling complex tasks such as image recognition, natural language processing, and machine learning. To effectively use the chip model, it is important to understand the specific design requirements and product description of the chip model. This includes understanding the chip's architecture, memory and processor capacity, as well as its power consumption and heat dissipation. Additionally, it is important to have a good understanding of the programming language used to program the chip model.
Case studies and precautions should also be taken into account when using the XQV2000E-6FG1156N chip model. It is important to consider the potential risks and limitations of the chip model, such as the possibility of data loss or system failure. Additionally, it is important to consider the potential security risks associated with the chip model, such as the possibility of malicious software or hardware.
In summary, the XQV2000E-6FG1156N chip model has the potential to revolutionize the way we think about networks and intelligent systems. It can be used to create intelligent robots and autonomous vehicles, as well as to develop and improve the accuracy of machine learning algorithms. To use the chip model effectively, it is important to understand the specific design requirements and product description of the chip model, as well as to consider the potential risks and limitations associated with its use. Additionally, it is important to have a good understanding of the programming language used to program the chip model, as well as the potential security risks associated with it.
5,233 In Stock






Pricing (USD)
QTY | Unit Price | Ext Price |
---|---|---|
No reference price found. |