Forlinx released two networking SBC’s with 10Gbps Ethernet powered by NXP LS1043A and LS1046A processor nearly exactly one year ago. Like many other networking SBCs they do not come with video output so configuration is done via a computer or laptop either through a UART interface or a web interface. But in some cases, such boards may be integrated into machines that require a display for human-machine interaction. That’s why Forlinx has now released a new networking board – OK1028A-C – powered by NXP QorIQ Layerscape LS1028A dual-core Cortex-A72 processor that natively supports video output up to 4K UHD resolution via an eDP/DisplayPort interface which the company used to provide an LVDS header. The board also offers 5 Gigabit Ethernet ports, as well as optional WiFi, Bluetooth, and 4G or 5G cellular connectivity via M.2 and mPCIe modules. Forlinx OK1028A-C specifications: FET1028A-C system-on-module SoC – NXP LS1028A dual-core Cortex-A72 processor @ up to 1.5GHz System Memory – 2GB DDR4 Storage […]
Traverse Ten64 is a networking platform designed for 4G/5G gateways, local edge gateways for cloud architectures, IoT gateways, and network-attached-storage (NAS) devices for home and office use. Ten64 system runs Linux mainline on based NXP Layerscape LS1088A octa-core Cortex-A53 communication processor with ECC memory support, and offers eight Gigabit Ethernet ports, two 10GbE SFP+ cages, as well as mini PCIe and M.2 expansion sockets. Traverse Ten64 hardware specifications: SoC – NXP QorIQ LS1088 octa-core Cortex-A53 processor @ 1.6 GHz, 64-bit with virtualization, crypto, and IOMMU support System Memory – 4GB to 32GB DDR4 SO-DIMMs (including ECC) at 2100 MT/s Storage 8 MB onboard QSPI NOR flash 256 MB onboard NAND flash NVMe SSDs via M.2 Key M microSD socket multiplexed with SIM2 Networking 8x 1000Base-T Gigabit Ethernet ports (RJ45) 2x 10GbE SFP+ cages Optional wireless M.2/mPCIe card plus 3-choose-2 nanoSIM/microSD socket and up to 11x SMA connectors for antennas USB – 2x USB 3.0 ports, 1x USB 3.0 interface via […]
SolidRun CEx7-LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor has been found in the company’s Janux GS31 Edge AI server in combination with several Gyrfalcon AI accelerators. But now another company – Bamboo Systems – has now launched its own servers based on up to eight CEx7-LX2160A module providing 128 Arm Cortex-A72 cores, support for up to 512GB DDR4 ECC, up to 64TB NVMe SSD storage, and delivering a maximum of 160Gb/s network bandwidth in a single rack unit. Bamboo Systems B1000N Server specifications: B1004N – 1 Blade System B1008N – 2 Blade System N series Blade with 4x compute nodes each (i.e. 4x CEx7 LX2160A COM Express modules) Compute Node – NXP 2160A 16-core Cortex-A72 processor for a total of 64 cores per blade. Memory – Up to 64GB ECC DDR4 per compute node or 256GB per blade. Storage – 1x 2.5” NVMe SSD PCIe up to 8TB per compute node, or 32TB per blade […]
Back in February 2019, while referring to Arm server, Linus Torvalds famously said: I can pretty much guarantee that as long as everybody does cross-development, the platform won’t be all that stable. Or successful. … If you develop on x86, then you’re going to want to deploy on x86, because you’ll be able to run what you test “at home” (and by “at home” I don’t mean literally in your home, but in your work environment). … Which in turn means that cloud providers will end up making more money from their x86 side, which means that they’ll prioritize it, and any ARM offerings will be secondary and probably relegated to the mindless dregs (maybe front-end, maybe just static html, that kind of stuff). SolidRun had already worked on products with NXP LX2160A 16-core Arm Cortex A72 processor and found out it could be a match to make a powerful Arm workstation so that code could be developed natively on […]
NXP QorIQ LayerScape LX2160A networking processor with 16 Cortex-A72 cores, 16 Ethernet interfaces with support for up to 100GbE connectivity, 4 SATA III, and 24 SerDes lanes, was first announced in 2018, and at the time the company expected the processor to be found in enterprise storage controllers, appliances handling network function virtualization (NFV), white-box switching (e.g. control plane for L2 switches in TOR and EOR applications), and 5G packet processing. So far, we’ve reported about one appliance using the processor, namely SolidRun Janux GS31 Edge AI Server that combines the NXP networking processor with up to 128 AI accelerators for inference at the edge. The just-announced Nexcom NSA 6310 uCPE (Universal Consumer Premise Equipment) serves several purposes aiming to help telecom companies build virtualization environments, and with the ability to connect FPGA and AI/ML accelerators via PCIe interface can also support AI edge processing. NSA 6310 specifications: SoC (one or the other) NXP LX2160A 16-core Arm Cortex-A72 processor @ […]
AI inference used to happen exclusively in powerful servers hosted in the cloud, but in recent years great efforts have been made to move inference at the edge, usually meaning on-device, due to much lower latency, and improved privacy. On-device inference works, but obviously, performance is limited, and on battery-operated devices, one also has to consider power consumption. So for some applications, it makes sense to have a local server with much more processing power than devices, and lower latency than the cloud. That’s exactly the use case SolidRun Janux GS31 Edge AI inference server is trying to target using several NXP processors combined with up to 128 Gyrfalcon Lightspeeur SPR2803 AI accelerators Janux GS31 server specifications: CPU Module – CEx7 LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor @ 2.0 GHz System Memory – Up to 64GB DDR4 RAM via 2x SO-DIMM sockets “Video” Processors – Up to 32x NXP i.MX 8M Cortex-A53 SoC with […]
NXP LS1043A quad-core Cortex-A53 communication processor was introduced in 2014, while NXP LS1046A quad-core Cortex-A72 SoC was launched about 18 months later. Both are designed for networking equipment such as CPE (Customer Premise Equipment), routers, NAS, gateways, as well as single board computers and include one or two 10 GbE interfaces. Forlinx Embedded has decided to leverage those two processors in their OK1043A-C and OK1046A industrial-grade single board computers designed for networking applications. Both boards are comprised of the same baseboard and only differ by their COM-Express Mini Type 10 module which comes with the processor, memory, and flash storage. Specifications: COM Express Mini System-on-Module (one or the other) FET1046A-C NXP LS1046A SoM CPU – NXP LS1046A quad-core Cortex-A72 processor @ up to 1.8GHz System Memory – 2GB DDR4 RAM Storage – 8GB eMMC flash + 16MB QSPI NOR Flash Voltage Input – 12V Temperature Range – -40℃ to +75℃ Dimensions – 84 x 55mm FET1043A-C LS1043A SoM […]
A few months ago, we wrote that SolidRun was working on ClearFog ITX workstation with an NXP LX2160A 16-core Arm Cortex-A72 processor, support for up to 64GB RAM, and a motherboard following the mini-ITX form factor that would make it an ideal platform as an Arm developer platform. Since then the company split the project into two parts: the ClearFog CX LX2K mini-ITX board will focus on networking application, while HoneyComb LX2K has had some of the networking stripped to keep the cost in check for developers planning to use the mini-ITX board as an Arm workstation. Both boards use the exact same LX2160A COM Express module. HoneyComb LX2K specifications: COM Module – CEx7 LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor @ 2.2 GHz (2.0 GHz for pre-production developer board) System Memory – Up to 64GB DDR4 dual-channel memory up to 3200 Mpts via SO-DIMM sockets on COM module (pre-production will work up to 2900 […]
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