Reducing the Barriers to Entry for Foundation Model Training

arXiv:2404.08811v1 Announce Type: cross
Abstract: The world has recently witnessed an unprecedented acceleration in demands for Machine Learning and Artificial Intelligence applications. This spike in demand has imposed tremendous strain on the underlying technology stack in supply chain, GPU-accelerated hardware, software, datacenter power density, and energy consumption. If left on the current technological trajectory, future demands show insurmountable spending trends, further limiting market players, stifling innovation, and widening the technology gap. To address these challenges, we propose a fundamental change …

abstract applications artificial artificial intelligence arxiv consumption cs.ai cs.ar cs.et cs.lg datacenter demand energy foundation foundation model gpu hardware intelligence machine machine learning power software stack supply chain technology training type world