Another deep learning processor appears in the ring: Grayskull from Tenstorrent

It describes the technology behind the processor as: "The first conditional execution architecture for artificial intelligence facilitating scalable deep learning. Tenstorrent has taken an approach that dynamically eliminates unnecessary computation, thus breaking the direct link between model size growth and compute/memory bandwidth requirements." "Conditional computation enables adaptation to both inference and training of a model to the exact input that was presented, like adjusting NLP model computations to the exact length of the text presented, and dynamically pruning portions of the model based on input characteristics," is how the company describes it. It has eight channels of LPDDR4 for supporting up to 16Gbyte of external DRAM and 16 lanes of PCI-E Gen 4. The Tensix cores have a packet processor, a programmable SIMD and maths computation block, five single-issue RISC cores and 1Mbyte of ram. "The array of Tensix cores is stitched together with a double 2D torus network-on-chip, which facilitates multi-cast flexibility, along with minimal software burden for scheduling coarse-grain data transfers," according to the company.