Top 5 most powerful Arm SBC’s & Devkits in 2021

Most Powerful Arm SBCs development kit 2021

While companies like Hardkernel, Raspberry Pi, Orange Pi, and FriendlyArm offers affordable, great little Arm Linux development boards that are suitable for many projects, in some cases, your requirements may lead you to spend a bit more for either extra CPU power, more memory, AI processing power, faster I/Os and so on. That’s why I did a list of the most powerful Arm single board computers in late 2017, but with over three years passed since then an update is warranted. The boards from the list must be easily purchasable from individuals (with the cash to spare) or small companies, so we’ll exclude hard-to-source hardware, as well as Arm server boards like Ampere eMAG motherboard, that do not really qualify as single board computers. Snapdragon 888 Mobile Hardware Development Kit While there are plenty of Cortex-A72/A73 development boards around, it’s much hardware to find one with more recent Cortex-X1 or Cortex-A78 cores, and Lantronix Snapdragon 888 Mobile Hardware Development Kit […]

SolidRun CuBox-M 2-inch Arm Linux/Android mini PC packs a 2.3 TOPS AI accelerator

CuBox-M i.MX 8M Plus Mini PC

SolidRun first introduced the tiny CuBox Arm Linux mini PC in 2011, with the device based on a Marvell Armada 510 dual-core Armv7 processor, and followed in 2013 with the launch of the CuBox-i family powered by Freescale i.MX 6 single to quad-core Cortex-A9 processor. The company moved to NXP i.MX 8M processor in 2018 with the introduction of CuBox Pulse, and now they’ve introduced their first Cubox mini PC with a built-in AI accelerator. Meet CuBox-M mini PC powered by NXP i.MX 8M Plus quad-core Cortex-A53 processor with a 2.3 TOPS NPU. Cubox-M mini PC specifications: SolidRun i.MX 8M Plus System-on-Module (SoM) SoC – NXP i.MX 8M Plus Quad quad-core Arm Cortex-A53 processor @ 1.8 GHz with Arm Cortex-M7 up to 800MHz, Vivante GC7000UL 3G GPU (Vulkan, OpenGL ES 3.1, OpenCL 1.2), 2.3 TOPS NPU, 1080p60 H.264/H.265 video encoder, 1080p60 video decoder (H.265, H.264, VP9, VP8), Candence HiFi4 audio DSP System Memory – 1 or 4 GB 32-bit LPDDR4-4000 […]

SolidRun launches i.MX 8M Plus SOM and devkit for AI/ML applications

SolidRun already offers NXP based solutions with AI accelerators through products such as SolidRun i.MX 8M Mini SoM with Gyrfalcon Lightspeeur 2803S AI accelerator, or Janux GS31 Edge AI server with NXP LX2160A networking SoC, various i.MX 8M SoCs and up to 128 Gyrfalcon accelerators. All those solutions are based on one or more external Gyrfalcon AI chips, but earlier this year, NXP introduced i.MX 8M Plus SoC with a built-in 2.3 TOPS neural processing unit (NPU), and now SolidRun has just unveiled the SolidRun i.MX 8M Plus SoM with the processor together with development kits based on HummingBoard carrier boards. Specifications: SoC – NXP i.MX 8M Plus Dual or Quad with dual or quad-core Arm Cortex-A53 processor @1.6 GHz (industrial) / 1.8 GHz (commercial), with Arm Cortex-M7 up to 800MHz, Vivante GC7000UL 3G GPU (Vulkan, OpenGL ES 3.1, OpenCL 1.2), 2.3 TOPS NPU, 1080p60 H.264/H.265 video encoder, 1080p60 video decoder (H.265, H.264, VP9, VP8), Candence HiFi4 audio DSP System […]

ClearFog CX CN9K Mini-ITX 10GbE/5GbE networking SBC runs Linux or FreeBSD

Clearfog CX CN9K

Last year, SolidRun introduced ClearFog CX LX2X networking single board computer offering up to 100GbE via NXP LX2160A 16-core Cortex-A72 communication processor that followed ClearFog CX 8K  ARMADA 8040 networking board launched the year before. The Israeli company is now working on two ClearFog CX CN9K networking SBC’s powered by CEx7 CN913x system-on-module featuring Marvell Octeon TX2 CN913x quad-core Cortex-A72 processor and offering multi-gigabit Ethernet with various 10Gbps, 5Gbps, and Gigabit Ethernet ports. ClearFog CN9132 Pro The higher-end version of the ClearFog CX CN9K boards is ClearFog CN9132 Pro with the following specifications: CEx7 CN9132 COM Express Type 7 module SoC – Marvell OCTEON TX2 CN9132 quad-core Arm Cortex A72 up to 2.2 GHz (Industrial temperature up to 2.0 GHz) System Memory – Up to 16GB SO-DIMM DDR4 up to2400MT/s (not included by default) Storage – Up to 32 GB eMMC flash, SPI NOR flash COM Express Type 7 board-to-board connectors with Storage – 2x SATA (Gen III) Networking – […]

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 […]

HummingBoard Ripple SBC Targets AI Applications with NXP i.MX 8M Mini SoC & Gyrfalcon Lightspeeur 2803S NPU

SolidRun HummingBoard Ripple SBC

SoliRun has made good use of its i.MX 8M Mini SoM which  – as its name does not imply – comes with both an NXP i.MX 8M Mini processor and Gyrfalcon Lightspeeur 2803S AI accelerator, and can now be found in HummingBoard Ripple SBC part of the new HummingBoard-M family and based on a cost-reduced version of HummingBoard Pulse baseboard which we covered in 2018. Note that HummingBoard Ripple board is also available with the earlier SoliRun i.MX 8M module, and comes with up to 4GB RAM, Gigabit Ethernet, USB 3.0, Micro HDMI. Compared to HummingBoard Pulse SBC, it does without MIPI-DSI nor digital audio, and removing one Gigabit Ethernet port, and one MIPI-CSI connector. HummingBoard Ripple SBC specifications: SOM Model NXP i.MX8M dual-/quad-core Arm Cortex A53 processor up to 1.5GHz with Arm M4 MCU core NXP i.MX8M Mini single to quad-core Arm Cortex A53 processor up to 1.8GHz with Arm M4 MCU core and optional Gyrfalcon Lightspeeur 2803S artificial […]

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 […]

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 […]