Intel® FPGA PAC N3000

Intel® FPGA PAC N3000 accelerates network traffic for up to 100 Gbps to support low-latency, high-bandwidth 5G applications. It allows you to create custom-tailored solutions for vRAN and core network workloads and achieve faster time to market with the support of industry-standard orchestration and open source tools.

Intel® FPGA PAC D5005

Intel® FPGA PAC D5005, previously known as Intel® PAC with Intel® Stratix® 10 SX FPGA, offers inline high-speed interfaces up to 100 Gbps. It allows you to deploy solutions for data center workloads, such as streaming analytics, video transcoding, financial, artificial intelligence, and genomics.

Intel PAC with Intel Arria® 10 GX FPGA

Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA (Intel® PAC with Intel® Arria® 10 GX FPGA) provides both inline and lookaside acceleration. Its performance and versatility allows you to implement solutions in many market segments, such as big data analytics, artificial intelligence, genomics, video transcoding, cybersecurity, and financial trading.

Silicom FPGA SmartNIC N5010

The first hardware programmable 4x100GE FPGA-accelerated SmartNIC that enables next generation IA-based servers to meet the performance needs of the 4/5G Core User Plane Function/Access Gateway Function(UPF/AGF).  The solution is flexible enough to be enable communications service providers (CoSPs) to support Virtual Broadband Network Gateway, virtual evolved packet core, IPSec, vFirewall, SRv6, and VPP workload capability in an IA server with a reprogrammable FPGA-based SmartNIC

Inventec FPGA SmartNIC C5020X

Intel® Xeon® D processor (SoC + FPGA) platform, offering a hardware programmable data path. This 50G SmartNIC solution allows CSPs to improve server core utilization by offloading vSwitch and storage using IA-optimized Data Plane Development Kit (DPDK) and Storage Performance Development Kit (SPDK). By moving networking and storage infrastructure from dedicated server blades to the SmartNIC, CSPs can free up rack slots to add more revenue-generating IA cores.