Efinix® Releases TinyML Platform for Highly Accelerated AI Workloads on Its Efficient FPGAs

Quad-Core, Linux-Capable RISC-V Uses Custom Instruction Capability to Achieve AI Acceleration

SANTA CLARA, Calif.--(BUSINESS WIRE)--Efinix^®, an innovator in programmable product platforms and technology, today announced the release of its TinyML Platform for artificial intelligence (AI) acceleration on its innovative range of FPGAs. The TinyML Platform works with the high performance and Linux-capable Sapphire RISC-V processor. Comprising a model profiler and graphical user interface for accelerator selection, the TinyML Platform delivers an accelerated AI capability to the quad-core-capable Sapphire core.

“We are seeing an increasing trend to drive AI workloads to the far edge where they have immediate access to raw data in an environment where it is still contextually relevant. Providing sufficient compute for these AI algorithms in power and space constrained environments is a huge challenge,” said Mark Oliver, Efinix VP of Marketing. “Our TinyML Platform harnesses the potential of our high performance, embedded RISC-V core combined with the efficiency of the Efinix FPGA architecture and delivers them intuitively to the designer, speeding time to market and lowering the barrier to AI adoption at the edge.”

The TinyML Platform leverages the RISC-V custom instruction capability to deliver a scalable library of accelerated instructions customized for the requirements of the chosen TensorFlow Lite model. Instructions vary in complexity and size and can be selected through a graphical user interface to deliver the resource / acceleration tradeoff needed for the end user’s application. Time to market is further accelerated for the designer by leveraging the Edge Vision SoC Framework as the starting point for AI model implementations. Both the Edge Vision SoC Framework and the TinyML Platform are available to the open-source community on the Efinix GitHub page.

About Efinix

Efinix^®, an innovator in programmable products, is committed to delivering the low power and reconfigurability of its high-performance Titanium FPGA silicon platforms for applications in the mainstream market. Efinix FPGAs deliver power, performance, and area advantages over traditional FPGA technologies, unlocking new applications and delivering rapid time to market. Titanium devices range from 35K to 1M logic elements, have a small form-factor, low-power, and are priced for high-volume production. The Efinity^® Integrated Development Environment provides a complete FPGA design suite from RTL to bitstream.

For more information, visit http://www.efinixinc.com.