Gyrfalcon Acclaimed by Frost & Sullivan for Optimizing AI-enabled Solutions with AI Accelerator Chipsets

GTI’s AI accelerator chips exhibit high reliability in extreme data-centric operations and keep energy consumption to a minimum

Gyrfalcon Technology, Inc. (GTI) bagged the 2019 North American AI Accelerator Chips New Product Innovation Award at Frost & Sullivan‘s prestigious 2019 Excellence in Best Practices Award gala. This recognition underscores GTI’s commitment to optimizing AI-powered solutions that deliver high performance with low energy consumption.

GTI’s AI accelerator chips can be easily integrated into a variety of host processors embedded in electronic devices, such as smartphones, tablets, and industrial robots. The device sensors’ data is processed in a host processor which undergoes further processing at the AI accelerator. Embedded with application specific models, AI accelerator chips will process the incoming data from host processors before routing back to the host device to run the dedicated application. Based on the application requirements models can be designed and embedded in the AI accelerator chip.

Marketing Technology News: Nifty Games Teams Up With The NBA And NBPA To Bring Head-To-Head Basketball Action To Mobile Devices

“As more AI accelerator solutions are trying to pair memory and logic, GTI’s proprietary Gyrfalcon MRAM engine (GME), which is the first AI chip in the industry with integrated memory magnetic random access memory (MRAM), is a key advantage,” said Sushrutha Katta Sadashiva, senior research analyst. “With the built-in non-volatile memory of 40 megabytes (MB) this chip can run large AI models, or the memory can be partitioned to run concurrent models on a single chip.”

GTI’s Lightspeeur® portfolio comprises the 2801S accelerator chip performing at 9.3 Tera operations per second per watt (TOPs/watt); the MRAM (magnetic random access memory) based 2802M, which delivers 9.9 TOPs/watt; and the 2803S offering 24 TOPs/watt. Compared to other AI accelerator chips, GTI’s chips offer 10 times more efficiency in terms of performance-to-power usage, which can drastically reduce data center costs. Besides, the thermal footprint of GTI’s chips is smaller than other chips, thereby eliminating any need for additional cooling equipment. The 2803 chip also includes a unique cascading feature, which allows large AI models to run in data centers across a limitless number of 2803 chips that have been embedded in the data center rack.

Marketing Technology News: Predicts the Top Travel Trends for 2020

“The launch of GTI’s 2801 chip created a new wave in the AI industry, which had been bogged down by complex GPUs and mainframe systems,” noted Sadashiva. “Compared to competing solutions, GTI’s technology offers more design flexibility because customers can mix and match the chips they want based on the end application. The chips can boost any application, such as AI thermostats, sensor hubs, drones, and robots. Regardless of the application, the core technology executes in the same way, ensuring ease of customer use and experience.”

Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leveraging leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased return on investment (ROI) it gives customers, which, in turn, raises customer acquisition and overall market penetration potential.

Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.

Marketing Technology News: YRC Worldwide Launches New Industry-centric Sales Verticals

buy modafinil online where to buy modafinil