Android no longer supports RISC-V, for now…

Android RISC-V

Google dropped RISC-V support from the Android’s Generic Kernel Image in recently merged patches. Filed under the name “Remove ACK’s support for riscv64,” the patches with the description “support for risc64 GKI kernels is discontinued” on the AOSP tracker removed RISC-V kernel support, RISC-V kernel build support, and RISC-V emulator support. In simple terms, the next Android OS implementation that will use the latest GKI release won’t work on devices powered by RISC-V chips. Therefore, companies wanting to compile a RISC-V Android build will have to create and maintain their own branch from the Linux kernel (ACK RISC-V patches). These abbreviations can be confusing, so let’s focus on them starting with ACK. There’s the official Linux kernel, and Google does not certify Android devices that ship with this mainline Linux kernel. Google only maintains and certifies the ACK (Android Common Kernel), which are downstream branches from the official Linux kernel. One of the main ACK branches is the android-mainline […]

Ambarella CV75S AI SoC brings Vision Language Models (VLM) and Vision Transformer Networks to cameras

ambarella cv75s

Ambarella has been expanding its AI SoC portfolio, and the latest addition is the CV75S family of 5nm chips. The company claims this family introduces the most cost- and power-efficient SoC option for running the latest AI-based image processing like vision language models (VLMs) and vision transformer networks in security, robotics, conferencing, and sports cameras. The CV75S family is the first in Ambarella’s lineup to integrate the latest CVflow 3.0 AI engine, which results in 3 times the performance compared to the former generation. CVflow 3.0 is a chip architecture designed based on a deep understanding of the core computer vision algorithms. It features a dedicated vision-processing engine that Ambarella has programmed using a high-level algorithm description and works with Tensorflow, Caffe, and PyTorch. This engine enables the SoC to perform trillions of operations each second at a fraction of the power consumption of leading GPUs and general-purpose CPU solutions. These chips also […]

Exit mobile version