In this eBook, you’ll discover the numerous advantages offered by HPC in the cloud, and how it grants engineers access to the right computing resources necessary for running compute and data-intensive computer simulations.
Google Cloud Platform (GCP) recently introduced a new compute optimized VM based on 3rd generation AMD EPYCTM processors called C2D. C2D instances provide the largest VM sizes within the Compute Optimized VM family and are best suited for HPC workloads.
With high-performance computing in the cloud, manufacturers get unbridled compute power to support engineering simulations and complex workflows.
UberCloud presents two aerodynamics case studies using cloud-based services with Ansys CFX and Fluent for engineering applications, as well as use cases that demonstrate the progress that has been made in cloud computing for the aerodynamics sector over the past few years.
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
Virtual Testing of Severe Service Control Valve with Autodesk CFD in the AWS Cloud
A RevSim virtual coffee break short video highlighting the virtual modeling and simulation of pharmaceutical production tank mixers by ANSYS.
Case study showcasing the democratization of HPC services and resources for everyday business purposes.
Thanks to the HPC environment in Azure CycleCloud, we’re in a position to draft cluster configurations that perfectly match our needs in next to no time.
This UberCloud Project #220 is about Accelerating Rimac’s R&D Pipeline with UberCloud and Azure to Design and Deliver Electric Hypercars, Powertrains, Batteries, and Latest EV Technology.
This UberCloud Compendium contains 10 case studies on 50 pages which are related to the Energy sector, selected from the 220 UberCloud Experiment projects performed so far, including applications from oil & gas, mining, electrical, geo-thermal, wind, and water power, and turbines and electrical power transformers.
Opin Kerfi‘s HPC resources and UberCloud’s HPC software container for Abaqus provided the compute power and environment needed to reduce the simulation time and allowed a large number of iterations to be run in order to get the optimal design and accurate device placement.
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
Rev-Sim Coffee Break Webinar Series. HPC (High Performance Computing) Part 9: Radial Fan CFD Simulation
Rev-Sim Coffee Break Series: Democratizing High Performance Computing – Air Bag Simulation with ANSYS LS-DYNA
