Rescale’s role as an intelligent cloud automation platform means the company has a unique vantage point of how R&D-driven organizations are adopting cloud. This inaugural report, “BIG COMPUTE 2021 State of Cloud HPC Report,” includes insights from over 300 organizations, running 680+ applications, on each of the major cloud providers. Additionally, the report incorporates survey […]
BIG COMPUTE 2021 State of Cloud HPC Report
Rescale’s role as an intelligent cloud automation platform means the company has a unique vantage point of how R&D-driven organizations are adopting cloud. This inaugural report includes insights from over 300 organizations, running 680+ applications, on each of the major cloud providers. Additionally, the report incorporates survey responses and analytics from leading HPC practitioners as well as inputs from supercomputing hardware and software partners.
HPC Buyers Guide
This ebook from our friends over at Rescale, shows that by adopting a platform solution and retiring the fixed capacity, on-premises infrastructure model, companies can significantly reduce capital expenditures, dramatically increase productivity, and develop next-generation innovative products at a pace that surpasses their competition.
QPM Address Medical Life Sciences Challenges
December 23, 2020 by
In this sponsored post from our friends over at Quanta Cloud Technology (QCT), review how QCT brings out the concept called QCT Platform on Demand (QCT POD), which is a converged framework with a flexible infrastructure for customers running different workloads. Under this concept, QCT develops the QCT POD for Medical (QPM) that is an on-premise rack-level system with common building blocks designed to provide greater flexibility and scalability, aimed to meet different medical workload demands using HPC and DL technologies, including Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Medical Image Recognition.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 4
December 17, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 3
December 11, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
Massive Scalable Cloud Storage for Cloud Native Applications
In this comprehensive technology white paper, written by Evaluator Group, Inc. on behalf of Lenovo, we delve into OpenShift, a key component of Red Hat’s portfolio of products designed for cloud native applications. It is built on top of Kubernetes, along with numerous other open source components, to deliver a consistent developer and operator platform that can run across a hybrid environment and scale to meet the demands of enterprises. Ceph open source storage technology is utliized by Red Hat to provide a data plane for Red Hat’s OpenShift environment.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 2
November 30, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads
Not too long ago, building a converged HPC/AI environment – with two domains: High Performance Computing (HPC) and Artificial Intelligence (AI) – would require spending a lot of money on proprietary systems and software with the hope that it would scale as business demands changed. In this insideHPC technology guide, as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
