Many AI edge computers come with dedicated AI accelerators from Intel, Google, Gyrfalcon, and others. But as we’ve seen with Cincoze GM-1000 embedded mini PC, some include support for more traditional GPUs, in this case, an NVIDIA Quadro Embedded P2000 MXM module. Ryzen Embedded V1807B powered Vecow MIG-1000 AI edge PC is another such solution with up to 64GB DDR4, four DisplayPort outputs, and a PCIe x16 slot for dual-slot graphics cards from Nvidia or AMD for AI processing performance and/or extra video outputs. Vecow MIG-1000 specifications: SoC – AMD Ryzen Embedded V1807B quad-core processor with Radeon Vega 11 graphics; 35-54W TDP System Memory – 2x DDR4 3200MHz SO-DIMM, up to 64GB Storage – 1x SATA-III port, 1x M.2 Key M socket (2280, PCIe x4) for NVMe SSDs Video Output – 4x DisplayPort up to 4096 x 2160 @ 60Hz Audio Realtek ALC662, 5.1 Channel HD Audio codec 1x Mic-in, 1x Line-out, 1x Line-in jacks Networking – 2x Gigabit Ethernet […]
Cincoze GM-1000 is an industrial embedded GPU computer. It is highly expandable including supporting an embedded MXM GPU. As a rugged computer, it can either be passively cooled or actively cooled with add-on fans. It can support an operating temperature ranging from -40°C – 70°C and is also able to survive being dropped or hit with a vibration/shock tolerance of 5G/50G. It is marketed as having all the features required for a compact, reliable, and high-performance computing system for field applications in machine vision, image processing, and artificial intelligence. In this review, I’ll cover some performance metrics from both Windows and Ubuntu and also discuss the thermals. Hardware Overview The model loaned by Cincoze for review came with an Intel Core i7-9700TE which is an eight-core 8-thread 1.80 GHz Coffee Lake-R processor boosting to 3.80 GHz with Intel’s UHD Graphics 630. It also came with an NVIDIA Quadro Embedded P2000 MXM module installed, 32GB of RAM, and a 512GB NVMe […]
NVIDIA Jetson Nano Developer kit was introduced in March 2019 for $99. With a quad-core Cortex-A57 processor, a 128-core Maxwell GPU, and 4GB LPPDR4 RAM, it’s a great low-cost AI platform as we wrote in our Jetson Nano getting started guide where we show how to perform inferences on still images and an RTSP video stream. The company has now gone further in providing an affordable AI computer for developers with the launch of NVIDIA Jetson Nano 2GB Developer Kit with similar features except for the 2GB RAM, and pricing starting at $54 without a wireless adapter or $59 with 802.11b/g/n/ac WiFi 5 USB dongle. Pre-orders are open on sites like Amazon or Seeed Studio and shipping is scheduled to start at the end of the month. If we look at the photo above, there are very few differences against the $99 version, and indeed most of Jetson Nano 2GB Developer Kit specifications are the same as the original devkit: […]
A few weeks ago, I read rumors about NVIDIA acquiring Arm, and I thought it was probably just a joke because of the obvious conflicts of interests since NVIDIA would be providing IP to competitors, who may then be wary of starting designs based on Arm NVIDIA cores and GPUs. But guess what? That’s now official with NVIDIA writing on their blog they had a definitive agreement under which NVIDIA will acquire Arm Limited from SoftBank Group Corp. (SBG) and the SoftBank Vision Fund (together, “SoftBank”) in a transaction valued at $40 billion. I seldom write about business news, but it looks like in this case there may be repercussions. Let’s see details about the transaction: Under the terms of the transaction, which has been approved by the boards of directors of NVIDIA, SBG and Arm, NVIDIA will pay to SoftBank a total of $21.5 billion in NVIDIA common stock and $12 billion in cash, which includes $2 billion payable […]
Seeed Studio ODYSSEY-X86J4105 is an Intel Celeron J4105 Gemini Lake SBC that also happens to integrate an Arduino compatible Microchip SAMD21 Arm Cortex M0+ microcontroller that makes it suitable as an all-in-one Arduino platform. But it can do much more with 8GB RAM, an optional 64GB eMMC flash, HDMI & USB-C DisplayPort 4K video outputs, dual Gigabit Ethernet, and support for both SATA and NVMe storage. The board runs Windows 10 Enterprise by default (if you purchase the board with an eMMC flash), and supports Linux distributions as well. Seeed Studio sent me a review sample, so I’ll start by checking out the hardware first. ODYSSEY-X86J4105 Unboxing I received ODYSSEY-X86J4105864 with a built-in 64GB eMMC flash pre-loaded with Windows 10 Enterprise. Let’s have a quick look at the board with USB, Ethernet and video output ports previously described, as well as built-in dual-band Wi-Fi 5 & Bluetooth 5.0 module, and M.2 sockets for NVMe and SATA SSD, SATA HDD/SSD, as […]
NVIDIA launched Jetson Xavier NX developer kit yesterday, and I included a short comparison table in the announcement between Jetson Nano, TX2, Xavier NX, and AGX Xavier developer kits. But I thought it might be worthwhile to have a more detailed comparison in a separate post, so here we are. As expected, usually the more you spend on a board, the better the performance and features. The exception is Jetson TX2 that’s the same price as the new Jetson Xavier NX devkit, but delivers about a fifth of the FP16 AI performance. So as today, there’s little reason to buy a TX2 board for a new project unless you need some of the required features that are missing on Xavier NX. Jean-Luc Aufranc (CNXSoft)Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011. www.cnx-software.com Support CNX Software – […]
NVIDIA announced the Jetson Xavier NX system-on-module last November with an NVIDIA Xavier SOC with 6 NVIDIA Carmel Arm v8.2 cores, a 384-core NVIDIA Volta GPU and two NVDLA deep learning accelerators for a combined 21 TOPS at 15 Watts. The 69.6 x 45 mm module also includes 8 GB LPDDR4x RAM and a 16GB eMMC flash with a 260-pin SO-DIMM providing various I/Os from PCIe to MIPI CSI and display interfaces such as HDMI and eDP. NVIDIA expected the module to be “available in March for $399 to companies looking to create high-volume production edge systems”, and at the time I thought it would be hard to purchase for simple mortals, but the company just sent an email announcing the launch of the module and it’s now listed for $459 on Arrow Electronics with no stock and a 16 weeks lead time. While there’s no Jetson Xavier NX development kit, the SoM is pin-to-pin compatible with Jetson Nano module, […]
Launched in March 2019, NVIDIA Jetson Nano developer kit offered an AI development platform for an affordable $99. The kit is comprised of Jetson Nano module and a carrier board, and the version I received last November ended with “A02”. Jetson Nano developer kit is now getting updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card). Jetson Nano developer kit-B01 specifications: B01 Jetson Nano CPU Module 128-core Maxwell GPU Quad-core Arm A57 processor @ 1.43 GHz System Memory – 4GB 64-bit LPDDR4 @ 25.6 GB/s Storage – microSD card slot Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) Dimensions – 70 x 45 mm B01 Baseboard 260-pin […]
Privacy & Cookies Policy
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.