Resources

Tenstorrent has emerged as a key player in the AI hardware landscape, with a mission to build compute solutions that are scalable, flexible, and future-ready. They set out to build "computers for AI" aimed at delivering unprecedented performance, scalability, and flexibility across applications including HPC/AI, automotive, and robotics. FlexNoC fully addressed Tenstorrent’s non-coherent NoC requirements in its current generation of chiplets. Ncore addressed Tenstorrent’s cache coherent NoC requirements in next generation of chiplets in planning.

SCALINX, a fabless semiconductor company specializing in the design of system-on-chip (SoC) devices, was looking to develop a large, next-generation SoC integrating analog, digital, mixed-signal, and RF functionality. With Arteris, they completed the bulk of the frontend design in 1.5 years.

SiMa.ai was looking to design a state-of-the-art machine learning accelerator (MLA) and they needed an easy way to generate a NoC quickly. Using Arteris, they saved years on their project timeline.

Dream Chip Technologies set out to create an optimized SoC foundation to support custom designs for next-gen automotive machine vision applications. FlexNoC’s configurability, functional safety option, and ease of use saved time and money, allowing the team to address unique requirements.

Aion Silicon delivered implementation-ready RTL based on client concepts reducing design time from 4-5 months down to 1-2 months on advanced ADAS SoC designs using Arteris.

Inuitive, a fabless semiconductor company, created a new iteration of an existing vision-on-chip device quickly and easily, meeting an aggressively short time-to-market schedule using Arteris interconnect IP.