In this special guest feature, Tim Miller, VP of Product Marketing at One Stop Systems (OSS), discuses how deploying edge HPC solutions – instead of data movement over relatively slow or unsecure networks to distant datacenters – provides significant benefits in cost, responsiveness and security. Real time decisions require sourcing and storing raw data, and converting it to actionable intelligence with high speed computing in the field close to the data source.
NVIDIA EGX Platform Brings Real-Time AI to the Edge
May 23, 2020 by
NVIDIA announced two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — delivering high-performance, secure AI processing at the edge. “Large industries can now offer intelligent connected products and services like the phone industry has with the smartphone. NVIDIA’s EGX Edge AI platform transforms a standard server into a mini, cloud-native, secure, AI data center. With our AI application frameworks, companies can build AI services ranging from smart retail to robotic factories to automated call centers.”
BittWare Introduces New TeraBox FPGA Accelerated Edge Server
April 21, 2020 by
Today BittWare introduced their new TeraBox 200DE edge server. The TeraBox series of certified server platforms feature the latest FPGA accelerators enabling customers to develop and deploy quicker with reduced risk and cost. “Working with Dell OEM for many years, we learned about the PowerEdge XE2420 and jumped at the chance to qualify our latest generation of FPGA accelerators. The combination has resulted in the TeraBox 200DE, the first enterprise-class FPGA edge server purpose-built for harsh environments and complex, compute-intensive workloads.”
Intelligent Video Analytics Pushes Demand for High Performance Computing at the Edge
April 18, 2020 by
In this special guest feature, Tim Miller, VP of Product Marketing at One Stop Systems (OSS), writes that his company is addressing the common requirements for video analytic applications with its AI on the Fly® building blocks. AI on the Fly is defined as moving datacenter levels of HPC and AI compute capabilities to the edge.
AI for Any Environment, All the Time
April 7, 2020 by
In this special guest feature, our friends over at Advantech takes a look at the shift to edge computing environments versus large, secure data centers, a trend in stark contrast to the other end of the spectrum where large cloud providers and on-premise data centers offer a wide range of computing, networking and storage options within carefully controlled environments. Ultimately, we need both based on their respective value. But if we look deeper into what lies between the two extremes, we find the hybrid – rugged systems that bring the high-performance data center computing power and functionality to the edge. Advantech is a global leader in the fields of IoT intelligent systems and embedded platforms.
Precision Medicine pushes demand for HPC at the Edge: AI on the Fly ® Delivers
March 17, 2020 by
In this special guest feature, Tim Miller from One Stop Systems writes that by bringing specialized, high performance computing capabilities to the edge through AI on the Fly, OSS is helping the industry deliver on the enormous potential of precision medicine. “The common elements of these solutions are high data rate acquisition, high speed low latency storage, and efficient high performance compute analytics. With OSS, all of these building block elements are connected seamlessly with memory mapped PCI Express interconnect configured and customized as appropriate, to meet the specific environmental requirements of ‘in the field’ installations.”
Supermicro announces Pole-mounted Ruggedized Servers for AI on the Edge
March 2, 2020 by
Today Supermicro announced first-to-market IP65 enclosure-based servers for 5G RAN, AI inferencing, and other edge-focused applications based on Intel Xeon D and 2nd Gen Intel Xeon processors and broad configuration options. “Based on Supermicro’s Building Block Solutions, these 5G systems can be configured with a variety of processor and memory combinations so that customers can tailor their solutions to push data center remote management to the Edge. Supermicro has extensive experience with popular virtualization and container software such as Kubernetes, to efficiently facilitate these interactions, and has multiple servers certified NGC-Ready for Edge to extend AI capabilities across public and private networks.”
Gyrfalcon Acceleration Chips Speed SolidRun AI Inference Server
February 27, 2020 by
Today SolidRun introduced a new Arm-based AI inference server optimized for the edge. Highly scalable and modular, the Janux GS31 supports today’s leading neural network frameworks and can be configured with up to 128 Gyrfalcon Lightspeeur SPR2803 AI acceleration chips for unrivaled inference performance for today’s most complex video AI models. “While GPU-based inference servers have seen significant traction for cloud-based applications, there is a growing need for edge-optimized solutions that offer powerful AI inference with less latency than cloud-based solutions. Working with Gyrfalcon and utilizing their industry-proven ASICs has allowed us to create a powerful, cost-effective solution for deploying AI at the Edge that offers seamless scalability.”
Michela Taufer presents: Scientific Applications and Heterogeneous Architectures
January 23, 2020 by
Michela Taufer from UT Knoxville gave this talk at ATPESC 2019. “This talk discusses two emerging trends in computing (i.e., the convergence of data generation and analytics, and the emergence of edge computing) and how these trends can impact heterogeneous applications. This talk presents case studies of heterogenous applications in precision medicine and precision farming that expand scientist workflows beyond the supercomputing center and shed our reliance on large-scale simulations exclusively, for the sake of scientific discovery.”
High Speed Data Capture for AI on the Fly Edge Applications
August 8, 2019 by
In many AI applications, transporting large amounts of data back to a remote datacenter is impractical and undesirable. With AI on the Fly, the entire AI workflow resides at the edge at the data source. One Stop Systems’s Tim Miller explores how high performance scalable data acquisition is a fundamental and enabling component of this emerging new paradigm.
