{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital Transformation","title":"#189 Parallel Works AI Workload Automation","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cea47899\"></iframe>","width":"100%","height":180,"duration":2121,"description":"In a data-driven world where technology is king, a lively discussion unfolding between Darren Pulsipher, host of Embracing Digital Transformation, and Matthew Shaxted, president of Parallel Works, navigated their way through the captivating sphere of High-Performance Computing (HPC) and its monumental role in machine learning and AI. This episode delicately examines this rapidly advancing field, shedding light on its profound influence on our lives. Amid their discourse, two main areas were markedly central - the evolution of HPC, presenting its potential efficiencies and challenges, and the company Parallel Works, born out of a profound need to democratize industry-specific workloads using high-performance computing models. The Evolution of High-Performance ComputingIn the last ten years, high-performance computing (HPC) has undergone a significant transformation. Shaxted highlights that current technology allows us to fit almost five times more cores on a single chip than we could a decade ago. Each core represents a distinct processing unit capable of functioning independently of the other cores. This results in a significant surge in performance power, providing an affordable and efficient execution methodology that was previously only possible through high-cost supercomputing.Although there have been significant advancements in the field of high-performance computing (HPC), setting up and configuring advanced HPC clusters is still an extremely difficult task. The challenge is not only limited to the hardware aspect, but it also includes the complex process of task setup. This requires a detailed knowledge of parallel computing, which adds to the steep learning curve. Democratizing HPC with Parallel WorksShaxted and his co-founder, Mike Wild, had a vision to revolutionize the High-Performance Computing (HPC) industry, and they set out to achieve it by creating Parallel Works. The idea behind Parallel Works was to democratize industry-specific workloads and...","thumbnail_url":"https://img.transistorcdn.com/IRrW2aizIeoZDn3gKLEax-JYQ8V_WzaFpHdgsslDx3k/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Ji/MDk1OTdiYzA4ZWMw/NWNlOTY0N2RhMWQ3/YmY5Mi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}