Amazon Web Services (AWS) is making a significant push into the field of generative AI, aiming to establish itself as a major player in the industry. At its summit in New York, AWS unveiled App Studio, a new tool designed to enhance application development with AI capabilities. This move comes as the chip industry anticipates a trillion-dollar opportunity in the AI chip market, with a growing demand for alternatives to power-hungry graphics processing units (GPUs). However, not all companies are benefiting from the AI boom, as evidenced by recent layoffs at UiPath and Intuit. In the midst of this dynamic landscape, SoftBank's acquisition of Graphcore highlights the company's commitment to fueling its AI ambitions. The article also discusses various funding rounds and acquisitions that have taken place in the AI industry.
In line with the growing demand for alternatives to GPUs, Alluxio, the AI data orchestration platform, has released a new version, Alluxio Enterprise AI 3.2, to boost GPU utilization and data management performance for AI/ML applications. The release focuses on enhancing data I/O capabilities and improving performance with high-performance computing (HPC) storage systems. It provides flexibility in accessing GPU resources, achieving over 97% GPU utilization in large language model training benchmarks. The new version also offers enhanced data I/O performance, achieving up to 10GB/second throughput and 200K IOPS for AI/ML applications. Additionally, Alluxio Enterprise AI 3.2 introduces a new file system API for Python applications and advanced cache management functionality for administrators [d4be6eea].