FPGA computing platform
To achieve high-speed data processing,
such as edge computing FPGA computing platform
FPGA computing platform M-KUBOS is Multiple M-KUBOS can be connected and treated as if they were a single FPGA. By conforming to "FiC" A low-cost and high-performance system can be realized.
M-KUBOS
Desktop type, 19 "rack storage, panel mount, etc. Various customizations are possible
performance ratio Equipped with XCZU19, the largest in the Zynq ultraslace + series
4x GTY 4TX / 4RX (max 28.125Gbps)
4x GTH 8TX (16.3Gbps) 4x GTH 8RX (16.3Gbps)
Communication between boards is possible in ultra-wideband
Between Arm® and FPGA
It is connected by a broadband internal bus
Improved system performance
Video processing such as 4K / 8K
Virtual reality (VR / AR) at sporting events and live performances
Sensor data analysis at factory facilities
AI-based lesion diagnosis assistance
By utilizing the large capacity, ultra-low latency, and multiple simultaneous connection communication infrastructure provided by 5G, some of the processing that was conventionally performed in the cloud can be performed in a small data center of the base station to control the factory. Timing-critical processing such as urban traffic control and power control can be efficiently realized. Such an edge computing method is called MEC (Multi-Access Edge Computing or Mobile Edge Computing), and by enhancing the functionality of the edge area, encapsulation of personal information, local management of IoT, and information congestion to the cloud are performed. It enables seamless cooperation with the cloud and information management through pre-processing to prevent it. For example, high-precision lesion detection in diagnostic imaging in hospitals, sensor data analysis to improve production efficiency in factory facilities, virtual reality (VR) in stadiums, and so on.
Currently, FPGAs are attracting attention as accelerators for high-speed calculations that execute algorithms in hardware. The multi-FPGA system FiC (Flow-in Cloud), which is led by Professor Hideharu Amano of the Faculty of Science and Technology of Keio University, is a large-scale system in which multiple medium-sized FPGAs with excellent price / performance ratios are connected by both high-speed links. The computing system can form a huge circuit as a whole. It also has the ability to partially reorganize while the system is running, allowing for flexible application changes and multi-user use. In addition, because it uses a circuit-switched method, it is also suitable for applications that require synchronization and predict data size, such as deep learning. By utilizing FiC for MEC, high-speed processing on the edge side can be realized, and quasi-real-time processing can be performed with low power consumption.
item | specification |
---|---|
Onboard FPGA | XCZU19EG-2FFV1760 |
memory | PS:4GB DDR4-2400 PL: 1x DDR4-2400 SODIMM socket |
storage | SATA (not implemented) |
I/O | QSFP28 (not implemented) 4x GTY 4TX/4RX (max 28.125Gbps) 4x GTH 8TX (max 16.3Gbps) 4x GTH 8RX (max 16.3Gbps) USB3.0×1 USB-UART×1 1Gb Ether(RJ45) DP1.2 |
Expansion connector | FMC connector x 2 (LPC, GT are not assigned) PMOD×2 |
switch/LED | Mounted on the board |
Power supply | ATX |
Operating temperature | 0~50℃ |
Humidity during operation | 20-80% (no condensation) |
External dimensions | MicroATX board size (243.8mm×243.8mm) |
Introducing the industrial FPGA supercomputer M-KUBOS!
M-KUBOS can be connected to PALTEK's own developed product, PCIe platform "DATA BRICK" with FireFly ™, and can process 8K video data and 8K video.
It can be used as the AI platform used (selecting disease fragments from endoscopic images, etc).
The best platform as a gateway to the latest IoT such as data centers and
4K streaming video