SolidRun and Gyrfalcon Technology introduced a co-developed Arm®-based AI inference server optimized for the edge (SRGT-AI31).
Highly scalable and modular, Janux GS31 supports today’s leading neural network frameworks and can be configured with up to 128 Gyrfalcon Lightspeeur® SPR2803 AI acceleration chips for unrivalled inference performance for today’s most complex video AI models.
Tailor-made to meet the future challenges of mass deployment of artificial intelligence applications at the edge, including energy consumption, cost-effectiveness and server real estate, this powerful server foundation allows for accelerated and cost-effective scaling of AI inference.
Supporting ultra-low latency decoding and video analytics of up to 128 channels of 1080p/60Hz video, 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.
Featuring best-in-class application and energy efficiency, made possible by Gyrfalcon’s Lightspeeur® 2803S Neural Accelerator chips, that deliver up to 24 TOPS per Watt, SolidRun’s powerful Edge AI Inference Server outperforms SoC and GPU based systems by orders of magnitude while using a fraction of the energy required by systems with equivalent computational power.
While lower energy consumption will help the Janux GS31 server deliver long-term cost savings, it also requires less of an upfront investment than competing inference servers.
“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 at 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.”
“SolidRun’s Janux GS31 inference serveris a perfect implementation of GTI’s AI accelerator technology and the Lightspeeur 2803S,” said Bin Lei, senior vice president of sales and marketing.
“The design and implementation of this server supports extremely high-performance inference with low energy use for high capacity live HD streaming video encoding and decoding to address demand in surveillance, broadcasting and a wide range of service provider market segments.”
Jim McGregor, Founder and Principal Analyst, Tirias Research commented, “AI is rapidly moving to the edge of the network to address the performance and security needs of many applications. 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 Janux GS31 server, designed in partnership between SolidRun and Gyrfalcon, is optimized for AI inference and delivers a powerful computing foundation in an easily scalable 1U rackmount form factor.
Specifications include:
| AI Inference | |
| Gyrfalcon Lightspeeur® 2803S (Up to x128 chips) | AI Accelerators |
| 2,150 tera operations per second @ 300MHz | TOPs |
| VGG ResNet MobileNet | AI Networks |
| Up to 32 i.MX8M with 2D/3D engine and HW video decoders supporting 1080p60 | Decoders |
| Up to 128 channels of 1080p @ 60Hz | No. of Channels |
| Processor & Memory | |
| CEx7 LX2160A 16-core Arm® Cortex® A72 (up to 2GHz) | Processor |
| 1 | Socket |
| SO-DIMM DDR4, up to 64GB | Memory Type |
| 2 | Memory Slots |
| Network & Connectivity | |
| 2 x 10GbE SFP+ 1 x 1GbE RJ45 | Network |
| 2 x USB Type A 1 x USB Type B | USB |
| Power & Mechanical | |
| Max 900W (single phase) | Power Consumption |
| IEC60320 connector 100V~240V | Power Input |
| 1U 445mm X 43.5mm X 500mm (WxHxD) | Form Factor |
| Software | |
| Linux | OS Support |
| TensorFlow Caffe PyTorch | Supported Frameworks |
| Environmental | |
| 10°C to 35°C | Operating Temperature |
| -40°C to -60°C | Storage & Transport Temperature |
| 20% to 80% relative humidity, non-condensing | Operating Humidity |
| 20% to 93% relative humidity, non-condensing | Storage & Transport Humidity |
SolidRun is a leading provider of computing and network technology designed to streamline the deployment of edge computing infrastructure, support embedded and IoT markets and give rise to the vast adoption of AI and 5G.
Gyrfalcon Technology Inc drives adoption of AI by bringing the power of cloud Artificial Intelligence to local devices and improves Cloud AI performance with greater performance and efficiency.
The company provides the utmost in AI customization for new equipment and a path to AI upgrade to customers by offering AI accelerator chips, board solutions and IP Licensing.
Source: gyrfalcontech.ai