Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N Arm Server

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 …

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This is what HoneyComb LX2K 16-core Arm Workstation Looks Like (Video)

Arm Workstation

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 …

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NXP LX2160A based NSA 6310 uCPE Runs Ubuntu, Supports up to 25Gbps Ethernet

NSA 6310 LX2160A uCPE

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 @ …

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SolidRun Janux GS31 Edge AI Server Combines NXP LX2160A & i.MX 8M SoCs with 128 Gyrfalcon AI Accelerators

SolidRun Janux GS31-Edge AI Inference Server

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 …

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Forlinx NXP LS1043A & LS1046A Networking SBC’s Support 10Gbps Ethernet

NXP LS1046A Networking SBC

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 …

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Pre-production HoneyComb LX2K 16-Core Mini ITX Arm Workstation is up for pre-order for $550

HoneyComb LX2K Arm Workstation

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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miriac MPX-LS1028A NXP QorIQ LS1028A SoM Targets TSN Applications with HMI Display

LS1028A System-on-Module

NXP QorIQ LayerScape LS1028A communication SoC was first unveiled in March 2017 with two Armv8 cores, GPU and LCD controller for HMI systems, as well as Time-Sensitive Networking (TSN) capabilities useful in industrial settings. As usual it takes a while before the company finalize their design and software support, but LS1028A has started to appear at least in one hardware platform that’s supposed to launch this quarter (Q2 2019): MicroSys miriac MPX-LS1028A system-on-module. miriac MPX-LS1028A SoM specifications: SoC – NXP QorIQ LS1018 / LS1028 single / dual core Arm Cortex-A72 clocked at up to 1.3 GHz with MXC Vivante GPU, Mali Display Processor, configurable cryptographic offload engines (Optional: LS1017/LS1027 without GPU for cost saving) System Memory – Up to 4GB 32 Bit DDR4 with ECC RAM at up to 1600 MT/s Storage – Up to 256MB Serial NOR Flash & up to 4GB Serial NAND Flash; EEPROM MXM 2.0 edge connector with: Up to two eSDHC interfaces (SD3.0, up to …

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ClearFog ITX Workstation May be the Ultimate Arm Developer Platform

ClearFog ITX Workstation

Most people are still doing Arm development work on x86 platforms, because there aren’t really any viable equivalent in the Arm world. Current options include Edge Server SynQuacer E-Series (aka Linaro Developer Box), a $1,250 Arm PC shipping with a 24-core Arm Cortex-A53 processor, 4GB RAM (by default), a 1TB hard drive, and Geforce GT710 graphics cards, as well as the much more powerful GIGABYTE ThunderXStation workstation with up to two Cavium ThunderX 32-core Armv8 processors,  32GB to 128GB RAM configuration, NVMe storage, and more. The former was a good place to get started, but the Arm Cortex-A53 cores clicked at 1GHz provided limited performance, and the GIGAGYTE workstation costs over $12,000, so it’s only suitable for projects with specific needs and/or a high expected return on investment. That’s why there will be a discussion about Designing a next generation ARM Developer Platform at Linaro Connect 2019 next week in Bangkok, Thailand. But courtesy of SolidRun, there may already be …

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