Santa Clara, California. Achronix Semiconductor Corporation collaborated with Myrtle.ai for an accelerated automatic speech recognition (ASR) platform designed around the Speedster7t FPGA. Spoken language is transformed into text in over 1,000 concurrent real-time streams and a 20x performance boost over other qualifying products.

Speech recognition on an FPGA? That doesn’t sound like the most effective path, but Bill Jenkins, of Achronix had a different opinion. Hear his take on why the FPGA is the right way to go for this application on this week’s Embedded Executives podcast.

The efficiency, reliability, and performance of AI inferencing, deep learning, vector processing, and other specialized workloads often rely on the ability to leverage functional hardware that supports the offloading of tasks, real-time processing, and energy efficiency to increase the overall system throughput and reduce processing bottlenecks.

Acquisition Adds Advanced SmartNIC FPGA Capabilities to Accelerate Time-to-Market for Achronix Customers' Networking Applications

According to the two companies, the card offers the industry?s highest performance interfaces available on a PCIe FPGA accelerator card.

Senior technologists from Achronix will present on how to incorporate high-performance FPGAs and eFPGA IP into SoCs and ASICs for applications such as 5G wireless, HPC and machine learning.

Achronix Semiconductor, a provider of FPGA-based hardware accelerator devices, introduced its Speedster7t family.