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INTEL LAUNCHES AGILEX 7 FPGAS WITH R-TILE

The field-programmable gate array is the first with PCIe 5.0 and CXL capabilities and the only FPGA with hard intellectual property supporting these interfaces.

INTEL LAUNCHES AGILEX 7 FPGAS WITH R-TILE

Intel’s Programmable Solutions Group announced that the Intel Agilex® 7 with the R-Tile chiplet is shipping production-qualified devices in volume – bringing customers the first FPGA with PCIe 5.0 and CXL capabilities and the only FPGA with hard intellectual property (IP) supporting these interfaces.

Faced with time, budget and power constraints, organizations across industries including data centers, telecommunications and financial services, turn to FPGAs as flexible, programmable and efficient solutions. Using Agilex 7 with R-Tile, customers can seamlessly connect their FPGAs with processors, such as 4th Gen Intel® Xeon® Scalable processors, with the highest bandwidth processor interfaces to accelerate targeted data centre and high-performance computing (HPC) workloads. Agilex 7’s configurable and scalable architecture enables customers to quickly deploy customized technology – at scale with hardware speeds based on their specific needs – to reduce overall design costs and development processes and to expedite execution to achieve optimal data centre performance.

Agilex 7 FPGAs with the R-Tile chiplet deliver leading technology capabilities with 2 times faster PCIe 5.0 bandwidth as well as 4 times higher CXL bandwidth per port when compared to other competitive FPGA products. According to a white paper from Meta and the University of Michigan, adding FPGAs with CXL memory to 4th Gen Xeon-based servers while using transparent page placement’s (TPP) efficient page placement improves Linux performance by up to 18%. Additionally, UnifabriX demonstrated its CXL-enabled Smart Memory Node on multiple performance benchmarks, with one showing a 28% increase in the HPCG (high-performance conjugate gradient) benchmark score while utilizing 2 times more 4th Gen Xeon cores for HPC workloads.

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