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.

Foxconn, a global leader in smart manufacturing, is joining Socionext, a major provider of advanced SoC solutions for video and imaging systems, and leading artificial intelligence (AI) chipmaker Hailo to launch the next-generation AI processing solution for video analytics at the edge. Foxconn has combined its high-density, fan-less, and highly efficient edge computing solution, "BOXiedge ", with Socionext's high-efficiency parallel processor "SynQuacer " SC2A11, and the Hailo-8 deep learning processor. The new combination provides market-leading energy efficiency for standalone AI inference nodes, benefiting applications including smart cities, smart medical, smart retail, and industrial IoT. In a global AI market forecasted by research firm IDC to approach $98.4 billion in revenue in 2023, this joint solution helps address the need for cost-effective multiprocessing capabilities required in video analytics, image classifications, and object segmentation. The robust, high-efficiency product is capable of processing and analyzing over 20 streaming camera input feeds in real-time, all at the edge.