Menu

EDGE FEATURE NEWS

SolidRun and Gyrfalcon Develop Edge-Optimized AI Inference Server

By Ken Briodagh February 25, 2020

In a recent release, SolidRun, a developer and manufacturer of high-performance edge computing solutions, and Gyrfalcon Technology, ASIC solutions provider, have announced a co-developed Arm-based AI inference server optimized for the edge. Designed to be highly scalable and modular, Janux GS31 reportedly supports neural network frameworks and can be configured with up to 128 Gyrfalcon Lightspeeur SPR2803 AI acceleration chips for complex video AI models.

“AI is rapidly moving to the edge of the network to address the performance and security needs of many applications,” said Jim McGregor, Founder and Principal Analyst, Tirias Research. “As a result, new networks will drive increasing demand for processing performance and efficiency. The SolidRun platform, leveraging the GTI AI acceleration technology, will provide a powerful and efficient way to build a new intelligent network bridging the gap between devices and the cloud.”

The partners said that this solution has been tailor-made to meet the future challenges of mass deployment of artificial intelligence applications at the edge. These might include energy consumption, cost effectiveness or server real estate, and this server foundation reportedly allows for accelerated and cost-effective scaling of AI inference. The companies said that Janux GS31 is well-suited for monitoring smart cities and infrastructure, intelligent enterprise/industrial video surveillance applications, tagging photos and videos for text-based searching and more.

“Powerful, new AI models are being brought to market every minute, and demand for AI inference solutions to deploy these AI models is growing massively,” said Dr. Atai Ziv, CEO, SolidRun. “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.”


Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

SHARE THIS ARTICLE
Related Articles

Real World Use Cases for Intelligent Edge Infrastructure

By: Ken Briodagh    4/26/2022

The Intelligent Edge is being integrated into nearly every industry and now that aging infrastructure is being updated all over the world, Intelligent…

Read More

Are Energy and Utility Companies in Position to Generate New Revenues through 5G Services with Existing Physical Infrastructure?

By: Matthew Vulpis    4/11/2022

The recent, rapid rise of digitalization has brought with it a vast number of devices and applications revolutionizing the way daily processes get don…

Read More

Telco Global Alliance Introduced at Mobile World Congress: Linux Foundation Unveils CAMARA

By: Juhi Fadia    2/28/2022

In a surprise move that had everyone buzzing at Mobile World Congress in Barcelona today, the Linux Foundation, in collaboration with the GSMA, introd…

Read More

Supermicro Delivers Intelligent Edge

By: Maurice Nagle    2/17/2022

Supermicro announced the SuperEdge server, developed for environments demanding high-density compute and I/O in a small form factor. Optimized for Edg…

Read More

Industrial IoT Evolution at the Edge Picks Up the Pace with IOTech's Edge Xpert 2.1 Supporting EdgeXFoundry

By: Special Guest    2/3/2022

With the transformative influence of IoT innovation over various industries, there have been a plethora of new solutions pioneered that have evolved h…

Read More