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The investment into tackling AI hardware acceleration has grown at breakneck speeds, with many vendors starting 2nd, 3rd, or 4th generation designs. Due to the fierce competition and ever-growing application opportunities for AI, machine learning algorithms, and compilers, architectures are evolving rapidly and branching into more specific use cases. This competitive environment opens opportunities for …
The demand for neural network processing is requiring SoC hardware innovation across all market segments. These demands bring a new set of IP requirements unique to different segments, including new processors, higher bandwidth memories, high speed interconnect, and optimized architectural configurations. Constantly evolving next-generation neural networks place unique additional demands over and above the standard …
