OnLogic Factor 101 – A fanless industrial edge AI computer with Qualcomm QCS6490 SoC, 10GbE networking

The OnLogic Factor 101 (FR101) is an ultra-small form factor, fanless industrial computer built around the Qualcomm QCS6490 platform for edge AI and data gateway applications. Designed for space-constrained applications, it targets light machine vision, inspection, monitoring, and low-speed autonomous systems. The octa-core Qualcomm Kryo 670 (Cortex-A78/A55-class) processor is paired with 8GB LPDDR4x memory and 128GB UFS flash storage. The fanless system features 10GbE and Gigabit Ethernet ports, five USB ports, and HDMI and USB-C (DisplayPort) video output. Its compliance with various standards makes it suitable for general office and industrial edge deployments. OnLogic Factor 101 specifications: SoC – Qualcomm Dragonwing QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan

Перший у світі міні-ПК з AMD Ryzen 7 8840U з пасивним охолодженням від OnLogic

Безвентиляторний міні-ПК OnLogic ML1000G-42 з AMD Ryzen 7 8840U призначений для промисловості, однак ніщо не заважає користатися ним як звичайним комп’ютером.

Edgy Hardware Matters - Orange boxes from OnLogic

Edge computing brings sophisticated applications to places where we don’t expect to find a general-purpose computing platform. For a long time, the Programmable Logic Controllers that run industrial automation and control were operated by switches and dials; now, touch screens and computers are runn

What Problems Are Modern Edge Computing Solving For? - koolaid.info

I was recently honored to be selected as a delegate at the Futurum Group‘s Edge Field Day 3 event in Santa Clara, California. There we heard from companies about their solutions and products that pertain to this smaller but ever growing segment of the enterprise IT landscape. In the next few posts I’ll cover those companies visions specifically but before we get to that I think it is worth discussing the common issues that they are all trying to solve. While each of these companies are differentiated in their solution to the needs of computing in remote places there are many commonalities that came through as to what is seen as the challenges before them. What is Edge Computing In the Datacenter or the cloud the edge is that firewall or gateway you have setting between your widespread storage and application estate and the big, bad Internet. For those who are working in Edge computing they are more concerned with ensuring that applications and data are available in a distributed manner that allows for processing to be completed where it’s created and then siphoned upstream for collation and analysis. Before we start defining problems it’s worth calling out some normal use cases for edge computing. As we said edge computing exists outside of our normal boundaries. These use cases can be anything from an evolution of how we handle remote retail locations and traditional Remote Office, Branch Office (ROBO) to more modern use cases including manufacturing, agricultural monitoring and management and even smart car enablement. In all of these use cases one solution commonality that I found during the course of the presentations is that most of the software based solutions either already had a defined partnership with OnLogic or are in the process of it because they’ve solved the hardware problem for most if not all of the edge use cases. It was a great presentation that highlighted a company that puts customer and partner success above all else, finding solutions to some frankly hard problems. Problem #1: Be Lightweight The first thing that was consistently stated was that physical devices you deploy in these remote locations, regardless of the use case, will need to be lightweight. In the Datacenter it is common for us to consider hundreds of GB of RAM and dozens of CPU cores per host as well as access to specialized cooling and 3 phase power the norm. In edge deployments this often can be a couple of small consumer units thrown on a shelf in a closet or embedded in industrial controllers, in neither case do you have space or support systems to allow for power. Often designs today are around ultra small form factor units such as those from OnLogic, purpose built for the solution to provide sufficient capability in an efficient manner. Problem #2: Resilience When you deploy computing to the edge you are most likely going to find yourself dealing with new environmental concerns that you don’t typically in the Datacenter. First off is these locations often rely on connectivity that includes WiFi or 5g which will not always be available. As such you have to design systems as well as applications to handle being offline for periods of time. Next is the true environmental concern, these compute and storage nodes are often deployed in locations that deal with complications like extreme heat or moisture. Again this is another place where OnLogic truly shines, allowing for all the power that the solution needs in highly resilient system designs that are often fanless and sealed to allow for deployment where ever needed. Finally we come back to the fact that these things can be just sitting on a shelf in a closet so physical loss through theft or disaster is a very real possibility. In that case the devices should be well secured and monitored so any loss can be mitigated and reported. Problem #3: Dealing with the Past, Building for the Future Today’s Edge computing in many ways is an evolution of the old ROBO solutions we as IT Pros have been deploying for decades at this point. Whether it’s a SD-WAN device with an IP phone, printer and laptop behind it for home workers or a small Windows server running SQL server and various applications for Point of Sale and Inventory Management Edge Computing vendors have figured out that their solutions often have things that came before them and they have to support a path to migrate legacy systems. In the 2 days at EFD3 every single company providing edge compute was supplying mixed support for both Virtual Machines as well as containers. The virtual machines are designed to be transient in most solutions, a short term solution to allow workloads to be migrated to modern hardware while the applications they provided were modernized piece by piece to more cloud native options. I’ll make an argument that in my experience this short term solution will often become more long term than anybody would like them to be due to just the nature of how enterprise systems often crawl but I’ll save that for another post. But once these short term workloads are migrated the bread and butter of any of these edge computing solutions is to leverage containerized applications to allow for both security requirements and to make the applications as lightweight as possible. While Kubernetes is what you hear the most of in the Datacenter at the edge the preference seems to be more towards treating each host as an island and letting the applications provide their own resiliency between hosts and the cloud. Problem #4: Work at Scale The last common problem to be covered in this post would be that these solutions need handle at scale. For all the talk in the Datacenter over the years about breaking down silos and minimizing effort to support I was very impressed to see the 3 different management overlays for potentially globally distributed edge nodes and how they can...

OnLogic – Driving Rugged Infrastructure at the Edge

OnLogic showcased their innovative edge computing solutions at Edge Field Day 3. The family-run company delivers rugged, reliable industrial PCs and edge servers for challenging environments.

OnLogic: Shaking Up Edge Computing from the Green Mountains

From Kitchen Counter to Global Edge Computing Leader Founded in 2003 by Lisa and Roland Groeneveld, OnLogic has grown from a startup in a Boston apartment to a global leader in industrial computing. This Vermont-based company, formerly known as Logic Supply, has carved out a unique niche designing a

OnLogic Edge Compute Meets GXC Private Cellular at EFD3 - Marko Does Wireless

OnLogic Edge Computing can be found in many edge sites including at Private Cellular sites. OnLogic is taking over where the NUC succeeded previously.

Edge Field Day 3 - Tech Field Day