Open-Source RISC-V-Based SoC Platform Enlists Deep Learning Accelerator

SiFive introduces what it’s calling the first open-source RISC-V-based SoC platform for edge inference applications based on NVIDIA's Deep Learning Accelerator (NVDLA) technology.

 

A demo shown  at the Hot Chips conference consists of NVDLA running on an FPGA connected via ChipLink to SiFive's HiFive Unleashed board powered by the Freedom U540, the first Linux-capable RISC-V processor. The complete SiFive implementation is suited for intelligence at the edge, where high-performance with improved power and area profiles are crucial. SiFive's silicon design capabilities and innovative business model enables a simplified path to building custom silicon on the RISC-V architecture with NVDLA.

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.

 

NVIDIA open-sourced its deep learning accelerator over a year ago to spark the creation of more AI silicon solutions. Open-source architectures such as NVDLA and RISC-V are essential building blocks of innovation for Big Data and AI solutions.

For more information, visit SiFive.

Suggested Articles

Brain Corp. reported a sharp increase in autonomous robot usage in 2Q

Nvidia DGX accelerators helped train system from 150,000 chest X-rays with inference results in less than a second

One forecast from Cameron Chell: the best AI designers of the future won’t come from top universities