October 26, 2017
Driven by a surging demand for HPC and AI compute power, the delay between the introduction of high-end GPUs and adoption by cloud vendors is shrinking. With th Read more…
June 5, 2013
David Pellerin and Jafar Shameen, both of HPC Business Development at Amazon Web Services, gave a presentation at AWS Summit 2013 to discuss which industries and companies are using the cloud service to run HPC applications. The talk mostly centered on applications in genomics and the life sciences, as highlighted by a third speaker in Alex Dickinson, SVP of Cloud Genomics at Illumina. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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