AI Workloads Dominate Cloud Cycles Among HPC Users
Authors: Tom Sorensen, Bob Sorensen
Publication Date: April 20
Length: 3 pages
Data collected in a 2022 survey conducted by Hyperion Research indicates that HPC users leverage cloud resources for AI workloads at the higher rate than either traditional mod/sim or big data applications. This 8th iteration of the Multi-Client Study captures insights from 181 HPC end-user sites with 3,830 HPC systems and includes data on a wide variety of HPC-user application types, resource allocation, success barriers, and visions of the future. This document highlights survey data that reveals that HPC-users allocate 40% of their external cloud resources toward AI workloads, with plans to increase this allocation in the future.
AWS New Bare Metal Instance: Courting the HPC Crowd by Combining Bare Metal Performance with Virtualized Cloud Functionality
Bob Sorensen, Earl Joseph, Steve Conway, Alex Norton
This Quick Take looks at Amazon's recent announcement of a new EC2 Bare Metal offering that provides users with direct, non-virtualized access to a processor, memory, storage and related networking instance. Amazon uses custom hardware in an effort to wring out the highest possible performance from the basic hardware set up while still offering a full complement of cloud-based software support. This development is a positive one for HPC users looking to migrate workloads to public clouds as Amazon is addressing one of the most vexinghurdles of HPC in the cloud: the performance overhead of running applicationsin a virtualized, performance limiting environment.
January 2018 | Quick Take
Cloud-based Quantum Computing: A Growing Assortment of Opportunities for QC Application Developers
Bob Sorensen, Steve Conway, Alex Norton and Earl Joseph
This Quick Take looks at the growing availability of commercial cloud-based quantum computing (QC), supported through either direct access to true QC systems or QC simulators based on traditional digital hardware. In addition to QC hardware, most cloud-based QC providers are also rolling out their own software development environments to help existing and new QC software developers more effectively explore QC programming. The choice of options for potential QC users is growing, and each of the QC providers offers a distinct take on QC architecture and programming.
October 2018 | Quick Take