IA-440i PCIe Accelerator with Intel Agilex FPGA
IA-440i 400G + PCIe Gen5 Single-Width Card Compact 400G Card with the Power of Agilex The Intel Agilex 7 I-Series FPGAs are optimized for applications
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. Based on 10 years of research and development, nxFramework is the foundation for all Enyx off-the-shelf solutions and provides clients with the toolchain to manage a large portfolio of applications.
Developed for building in-house high performance trading engines, order execution systems, pre-trade risk check gateways, and custom projects — any skilled FPGA developer starting a new low latency project, maintaining an existing one, or looking to change platforms can immediately reduce their time-to-production with nxFramework.
Ultra-low latency connectivity cores
Library of 60+ utility cores
Provided with Core
Simulation tool used:
QuestaSim (contact IntelliProp for latest versions supported)
Support:
Phone and email support will be provided for fully licensed cores for a period of 6 months from the delivery date.
Notes:
Other simulators are available. Please contact IntelliProp for more information.
Enables simple configuration and monitoring of Enyx connectivity & utility cores, including interaction with the FPGA application via our C/C++ libraries.
A Python scripted development environment that enables users to simplify their development cycle and accelerate their time-to-production.
Equipped with a web-based GUI that can configure and monitor the FPGA at runtime, allowing for quick deployment and debug.
ULL Tick-to-trade platform
Pre-trade Risk Check Gateway
Our technical sales team is ready to provide availability and configuration information, or answer your technical questions.
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IA-440i 400G + PCIe Gen5 Single-Width Card Compact 400G Card with the Power of Agilex The Intel Agilex 7 I-Series FPGAs are optimized for applications
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