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

IoT is Becoming Scalable, Simpler and SAFEr

By: Chrissie Cluney    3/31/2020

IoT SAFE is a new standardized API designed to enable IoT devices to leverage the SIM to execute security services and store credentials, which will d…

Read More

Nokia expands WING with 5G IoT capabilities

By: Ken Briodagh    3/18/2020

Nokia enhances Worldwide IoT Network Grid (WING) managed service to support operators in offering 5G IoT services, announces new 5G WING testbed in Da…

Read More

InsidePacket Extends SONiC Use Cases for Edge & Cloud Network Services

By: Ken Briodagh    3/4/2020

InsidePacket selects Microsoft-contributed SONiC to deliver edge-cloud services to eliminate complexity, increase performance and reduce latency assoc…

Read More

Lanner Launches Open, Scalable, and Programmable Edge Solution for Enterprise 5G

By: Ken Briodagh    3/3/2020

In a recent release, Lanner Electronics, a global leading manufacturer of advanced network appliances announced the release of a new Multi-access Edge…

Read More

Wind River Introduces Developer Site; Sets Out to Drive Innovation at the Intelligent Edge

By: Arti Loftus    3/3/2020

Today, California-based Wind River announced Wind River Labs, a site that is focused on development and innovation.

Read More