The REFLEX CES Toolkit makes it fast and easy to get started with a board.
Users can quickly configure a design and then program the board to test all the interfaces available. The Toolkit generates a complete HDL project, including IP and test modules selected by the user through the graphical interface.
This fully customizable toolkit is currently available on our XpressGXS10-800G board.
The Enyx Development Framework (nxFramework) is a hardware and software development environment designed to efficiently build and maintain ultra-low latency FPGA applications for the financial industry.
Aimed at reducing development time through standardizing the core IP blocks needed to build any FPGA-based trading platform, nxFramework enables developers to focus on optimizing their business logic and minimize their time-to-production. Any skilled FPGA developer starting a new low latency project, maintaining an existing one, or looking to change platforms can and should use nxFramework.
The PICMG® CompactPCI® Serial and the PICMG® CompactPCI® Express (PXI Express) are two adapter solutions for high speed performance FPGA into open PICMG standards, from EKF.
The SA4-COUNTRY and EA4-COUNTRY are peripheral slot boards for PICMG® CompactPCI® Serial systems and acts as carrier for a low profile PCI Express® Card. The SA4-COUNTRY and EA4-COUNTRY are provided with a PCI Express® x8 connector (option x4, x1) and accommodates a PCIe® card with maximum dimensions of up to 176mm (length) x 68.9mm (height).
The solutions are using REFLEX CES’ Low Profile PCIe board XpressGXA10-LP1151B as PCI Express based FPGA board.
The PICMG® CompactPCI® Serial solution is also using the REFLEX CES Low-Profile PCIe Board XpressVUP as PCI Express based FPGA board.
This Industrial AI accelerator will help you deploy your AI model inside your embedded application.
Your model and the constraints of your application like speed, latency, power consumption and cost defines the right FPGA SoM as inference engine. The easics software tools will convert the model and the weights into an FPGA build file that is ready to deploy on the chosen FPGA hardware.
This solution demonstrates AI Model recognition :
Real-time FPGA-based solution
Demo running Yolo v3 DNN
Recognizes up to 80 different objects
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