National Instruments PXIE-8135 PXI Express Embedded Controller Module

National Instruments PXIE-8135 PXI Express Embedded Controller Module

Specific parameters
Processor: 2.3 GHz quad core Intel Core i7-3610QE processor, capable of reaching up to 3.3 GHz in single core Turbo Boost mode.
Memory: Standard configuration includes 4 GB (1 x 4 GB DIMM) dual channel 1600 MHz DDR3 RAM, expandable up to 16 GB.
Storage: Provides a 2.5-inch laptop hard drive of 250 GB or larger, supports native command queues, and has a transfer rate of up to 600 MB/s. Some models have a removable serial ATA hard drive and support USB storage.
Interfaces: Two 10/100/1000 BASE-TX (Gigabit) Ethernet ports, two high-speed USB 3.0 ports, four high-speed USB 2.0 ports, one DisplayPort video interface, one RS-232 serial port, and one GPIB connector.
Bandwidth: The maximum controller bandwidth is 8 GB/s.

Product Performance
Powerful processing capability: Equipped with high-performance Intel Core i7 processors, it can handle complex computing tasks and meet the needs of processor intensive applications such as real-time signal processing, data acquisition and analysis.
High speed data transmission: Utilizing PCI Express technology, it provides up to 8 GB/s of system bandwidth, ensuring that large amounts of data can be quickly transmitted between the controller and other modules or external devices. It is suitable for applications that require high bandwidth communication, such as high-speed data acquisition systems.
Rich software support: Compatible with various software platforms of National Instruments, such as LabVIEW, LabVIEW Real Time, Measurement Studio, Microsoft Visual Basic and Visual C++, LabWindows/CVI, etc., providing users with rich development tools and environments for system design, programming, and testing.
Real time operating system support: It can run real-time operating systems to ensure that applications with high real-time requirements can respond accurately and timely, achieve high-precision measurement and control, and perform well in real-time control systems such as motion control and machine vision.