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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Marvell ThunderX3 96-Core, 384-Thread Armv8.3 Server Processor Targets Cloud and HPC Workloads

Marvell ThunderX Roadmap

Cavium first unveiled their 48-core 64-bit Arm ThunderX server processor in 2014, before following up with ThunderX2 featuring up to 56 cores @ 3.0 GHz providing 2 to 3 more performance compared to the first generation. Since then, the company has been acquired by Marvell, and now the latter has just announced ThunderX3 third-generation server processor with up to 96 cores, 384 threads in a single socket. Marvell explains that while x86 servers were historically designed to handle many applications for several thousand users, the market has changed and now servers are becoming more specialized, and for example, given the task to run one application used by millions of users. This change in the market provides opportunities for Arm server processors that do not have legacy features and can be highly customized and optimized. ThunderX3 key features: Up to 96 custom-designed Armv8.3+ cores @ up to 3.0 GHz 4 threads per core for up to 384 threads/socket 8x DDR4-3200 memory …

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Ampere Altra Announces 80-Core Arm Neoverse N1 Server Processor & Reference Designs

Ampere Altra

The first 64-bit Arm server processor was announced almost 9 years ago. Applied Micro X-Gene was found in several servers, and the company updated X-Gene family until it got bought by Ampere in 2018. The latter has now announced the first of their own design with Ampere Altra, an 80-core Arm Neoverse N1 server processor made for data centers. Ampere Altra specifications: Processor Subsystem 80x Arm v8.2+ 64-bit CPU cores up to 3.0 GHz with Sustained Turbo 64 KB L1 I-cache, 64 KB L1 D-cache per core, 1 MB L2 cache per core, 32 MB System Level Cache (SLC) 2x full-width (128b) SIMD Coherent mesh-based interconnect, distributed snoop filtering System memory 8x 72-bit DDR4-3200 channels ECC, Symbol-based ECC, and DDR4 RAS features Up to 16 DIMMs and 4 TB/socket System Resources Full interrupt virtualization (GICv3) Full I/O virtualization (SMMUv3) Enterprise server-class RAS Connectivity 128 lanes of PCIe Gen4 8 x8 PCIe + 4 x16 PCIe/CCIX with Extended Speed Mode (ESM) …

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Intel Atom P5900 “Snow Ridge” Processor to Power 5G Base Stations

Intel Atom P5900

Intel may have given up on developing 5G modems for mobile devices, but the company will still be participating in the ramping up of 5G technology by focusing on 5G infrastructure instead. So the company has just introduced the Atom P5900 “Snow Rigde” processor family designed for 5G wireless base stations requiring “high throughput, low latency processing for high-density network edge and security solutions”. The 10nm chips are offered with 8 to 24 cores based on the Tremont micro-architecture. There are four Atom P5900 “Snow Ridge” processors so far: Intel Atom P5921B 8-core processor @ 2.20 GHz with 9MB cache Intel Atom P5931B 12-core processor @ 2.20 GHz with 13.5MB cache Intel Atom P5942B  16-core processor @ 2.20 GHz with 18MB cache Intel Atom P5962B 24-core processor @ 2.20 GHz with 27MB cache P5912B supports up to 64GB ECC DDR4 memory, and other parts can handle up to 128GB RAM. The rest of the features are identical for all four …

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Google Summer of Code 2020 Mentoring Organizations Announced

Google Summer of Code 2020

Every year Google organizes the Summer of Code inviting students to work on open-source projects and even get paid for it. The company first select mentoring organizations, before accepting applications from students. Google has now announced the 200 organizations/projects that have been selected for Summer of Code 2020. Many projects are higher-level software development such as web development or desktop programs development but there are also projects closer to the hardware-side of things with operating systems and multimedia projects. Some interesting organization and/or  projects part of the audio / graphics / video / multimedia category include: apertus Association developing AXIOM open-source hardware camera FFmpeg multimedia framework to decode, encode, transcode, de/mux, stream, filter & play audio and video stream found in many projects OpenCV Open Source Computer Vision Library for computer vision and deep learning applications. XOrg foundation for X Window System and related projects such as Mesa, DRI, Wayland, etc… Some operating systems part of GSoC 2020 include: Amahi …

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NetBSD 9.0 Released with Aarch64 Support, Arm ServerReady Compatibility

NetBSD 9.0

Yesterday, we wrote about Raspberry Pi 4 getting UEFI+ACPI firmware for Arm SSBR compliance allowing the board to run operating systems designed for “Arm ServerReady” servers out of the box. NetBSD 9.0 was just released on February 14, 2020, with support for Aarch64 (64-bit Arm) which had been in the works for a few years, and includes support for “Arm ServerReady” compliant machines (SBBR+SBSA). NetBSD 9.0 main changes related to hardware support: Support for AArch64 (64-bit Armv8-A) machines Compatibility with “Arm ServerReady” compliant machines (SBBR+SBSA) using ACPI. Tested on Amazon Graviton and Graviton2 (including bare metal instances), AMD Opteron A1100, Ampere eMAG 8180, Cavium ThunderX, Marvell ARMADA 8040, QEMU w/ Tianocore EDK2 Symmetric and asymmetrical multiprocessing support (big.LITTLE) Support for running 32-bit binaries via COMPAT_NETBSD32 on CPUs that support it Single GENERIC64 kernel supports ACPI and device tree based booting Supported SoCs Allwinner A64, H5, H6 Amlogic S905, S805X, S905D, S905W, S905X Broadcom BCM2837 (Raspberry Pi 3B) NVIDIA Tegra X1 …

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Versalogic Grizzly Embedded Server Board is Powered by a 16-Core Intel Atom C3958 Processor

Versalogic Grizzly with Heat Pipe

Launched in 2016, Intel Atom Denverton processors are usually found in motherboards for low power servers hosted in data centers as well as in network appliances. But Versalogic Grizzly embedded server board fitted with the 16-core Atom C3958 Denverton processor aims specifically at embedded systems with applications ranging from smart-grid, and smart-city applications, to transportation, security, and defense operations. Versalogic Grizzly (VL-ESU-5070) key features and specifications: Processor – Intel C3958 16-core Denverton server-class processor @ 2.0 GHz System Memory – 4x SO-DIMM sockets for up to 128 GB DDR4 of ECC memory Storage – 2x SATA 3 ports, bootable mSATA socket, bootable M.2 NVMe SSD socket Networking – 2x 10GbE SFP+ ports (copper or fiber), 4x Gigabit Ethernet ports Video output – None, but optional VGA/LVDS mini PCIe card available Audio – No on-board audio, but optional VL-ADR-01 audio interface available USB – 2x USB 3.0 host ports Serial – 2x RS-232 ports Expansion One full, one half-length Mini PCIe …

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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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