miriac AIP-LX2160A 16-core embedded platform delivers up to 130 TOPS with 5 Hailo-8 modules

miriac AIP-LX2160A embedded SBC

MicroSys Electronics miriac AIP-LX2160A embedded platform combines a 16-core Cortex-A72 NXP LX2160A networking processor with up to five Hailo-8 AI accelerator modules delivering up to 130 TOPS of AI inference performance. The board supports up to 128 GB RAM, up to 4x SATA hard drives, up to 100GbE connectivity, and appears to be especially suited to applications with multiple IP video streams requiring real-time video analytics. miriac AIP-LX2160A specifications: SoC – NXP Layerscape LX2160A with 16 Arm Cortex-A72 cores @ up to 2.2 GHz AI accelerators – 2x Hailo-8 M.2 AI Acceleration Modules, upgradeable to up to 5 Modules via NGFF M.2 Key M card System Memory – Up to 128 GB DDR4 RAM & optional ECC, up to 3200MT/sec, up to 4 ranks (combined design: 2x discrete & 2x SODIMM) Storage 4x SATA III ports Up to 256 GB eMMC 5.1 flash, additional eMMC device on carrier board Up […]

Vecow ABP-3000 AI Edge gateway combines Hailo-8 AI accelerator with Intel Whiskey Lake processor

Vecow ABP-3000-AI Hailo-8 accelerator

We first discovered Hailo-8 AI accelerator with claims of up to 26 TOPS performance and 3TOPS/W efficiency in October 2020. Since then, we’ve seen several integrate an Hailo-8 M.2 module into their design including EdgeTuring Edge AI camera and Vecow VAC-1000 gateway with a 24-core Foxconn processor. Vecow has now integrated the Hailo-8 AI accelerator into another gateway, but instead of relying on an Arm processor, the Vecow ABP-3000 AI computing system features an 8th generation Intel Core Whiskey Lake processor. Vecow ABP-3000 specifications: SoC – Intel Core i7-8665UE or i3-8145UE quad-core Whiskey Lake processor with Intel UHD Graphics 620; 15W TDP System Memory – 2x DDR4 2400MHz SO-DIMM, up to 64GB Storage – 1x M.2 Key B Socket (PCIe x2/SATA) AI Accelerator – Hailo-8 AI Processor, up to 26 TOPS with TensorFlow, ONNX frameworks support System IO chip – IT8786E Video Output – 2x DisplayPort up to 4096 x […]

Learn more about Hailo-8 AI accelerator and understanding AI benchmarks

Hailo 8 Development Kit

Last week we wrote about Hailo-8 M.2 card delivering up to 26 TOPS of AI performance, and comparing well against Google Edge TPU and Intel Movidius Myriad X  both in terms of footprint, performance, and efficiency. I’ve since then had a conference call with Liran Bar, VP of Business Development for Hailo, where we had time to discuss more about Hailo’s AI solutions, and how to interpret & understand AI benchmarks that may be misleading in many instances. Hailo-8 Architecture In the first post, we noted the chip managed to get the extra performance and efficiency thanks to a “proprietary novel structure-driven Data Flow architecture instead of the usual Von Neumann architecture”. But that’s a bit abstract, so Liran told me one of the key reasons for the performance improvement is that RAM is self-contained without the need for external DRAM like other solutions. This decreases latency a lot and […]