Accelerating Machine Learning Means New Hardware | William G. Wong, Electronic Design

While the V in RISC-V doesn’t stand for vectors, SiFive’s latest RISC-V designs do have vector support that’s ideal for neural-network computational support (Fig. 9). What makes this support interesting is that the vector support can be dynamically configured. Vector instructions work with any vector size using vector-length and vector-type registers. The compiler vectorization support takes this into account. The VI2, VI7, and VI8 platforms target every application space through the data center.
article: https://www.electronicdesign.com/technologies/embedded-revolution/article/21131474/accelerating-machine-learning-means-new-hardware