Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs

arXiv:2311.04417v2 Announce Type: replace-cross
Abstract: The relentless advancement of artificial intelligence (AI) and machine learning (ML) applications necessitates the development of specialized hardware accelerators capable of handling the increasing complexity and computational demands. Traditional computing architectures, based on the von Neumann model, are being outstripped by the requirements of contemporary AI/ML algorithms, leading to a surge in the creation of accelerators like the Graphcore Intelligence Processing Unit (IPU), Sambanova Reconfigurable Dataflow Unit (RDU), and enhanced GPU platforms. These hardware accelerators …

abstract accelerators advancement amd amd gpus applications architectures artificial artificial intelligence arxiv complexity computational computing cs.ar cs.dc cs.lg cs.pf development gpus hardware intelligence ipu machine machine learning nvidia requirements type