Hewlett Packard Enterprise (HPE) intends to accelerate mainstream enterprise adoption of high performance computing (HPC) by offering its HPC solutions as a service through HPE GreenLake. The new HPE GreenLake cloud services for HPC would allow organizations to combine the power of an agile, elastic, pay-per-use cloud experience with HPC systems from HPE.
The new solution helps enterprises tackle their most demanding compute and data-intensive workloads. It would allow them to power AI and ML initiatives, speed time to insight, and create new products and experiences through a flexible as-a-service platform that customers can run on-premises or in a colocation facility.
HPE delivers fully managed, pre-bundled services based on purpose-built HPC systems, software, storage and networking solutions that come in small, medium or large options. Customers can order these through a self-service portal with “simple” point-and-click functions to choose the right configuration for their workload needs and receive services within 14 days.
“The massive growth in data, along with Artificial Intelligence and high performance analytics, is driving an increased need for HPC in enterprises of all sizes, from the Fortune 500 to startups,” said Peter Ungaro, senior vice president and general manager, HPC and Mission Critical Solutions (MCS), at HPE. “We are transforming the market by delivering industry-leading HPC solutions in simplified, pre-configured services that control costs and improve governance, scalability and agility through HPE GreenLake. These HPC cloud services enable any enterprise to access the most powerful HPC and AI capabilities and unlock greater insights that will power their ability to advance critical research and achieve bold customer outcomes.”
The HPC Market
According to Intersect360 Research, the HPC market will grow by more than 40%, reaching almost $55 billion in revenue by 2024, to support ongoing data growth, including data from emerging applications and endpoints, such as AI training models and edge devices, to efficiently process and analyze data.
HPC provides enterprises with massive computing power, along with modeling and simulation capabilities. II may support them in turning complex data into digital models that help researchers and engineers understand what something will look like and perform in the real world. HPC also provides optimal performance to run AI and analytics to increase predictability. These combined capabilities are used to solve challenges from vaccine discovery and weather forecasting to improving designs of cars, planes and also personal and consumer products such as shampoo and laundry detergent.
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Traditional deployment and management of HPC systems is costly, complex, and resource-intensive. Top concerns involve system costs, operational costs related to power and cooling, and lack of skilled HPC technical staff, according to Hyperion Research (PDF download).
HPE helps speeding up deployment of HPC projects while reducing capital expenditures by offering its HPC portfolio through HPE GreenLake cloud services. Enterprises can deploy these services in any data center environment, whether on-premises in their own enterprise or in a colocation facility. They would be able to gain fully managed services that allow them to pay for only what they use.
HPE will initially offer an HPC service based on HPE Apollo systems, combined with storage and networking technologies, which are purpose-built for running modeling and simulation workloads. The service also leverages key HPC software for HPC workload management, support for HPC-specific containers and orchestration, and HPC cluster management and monitoring. HPE plans to expand the rest of its HPC portfolio to as-a-service offerings in the future.
Customers can choose these bundles from small, medium or large configurations, and gain a fully managed service from HPE. As part of the offering, customers would gain the following features to easily manage, deploy and control costs for their HPC services:
- HPE GreenLake Central – offers an advanced software platform for customers to manage and optimize their HPC services.
- HPE Self-service dashboard – enables users to run and manage HPC clusters on their own, without disrupting workloads, through a point-and-click function.
- HPE Consumption Analytics – provides at-a-glance analytics of usage and cost based on metering through HPE GreenLake.
- HPC, AI & App Services – standardizes and packages HPC workloads into containers, making it easier to modernize, transfer and access data. The factory process is leveraged by experts to quickly move applications into a container platform as needed.
Initial pre-bundled offerings for HPE GreenLake cloud services for high performance computing (HPC) will be generally available in spring of 2021 for customers globally.
All HPE GreenLake cloud services, including for HPC, are available through HPE’s channel partner program.
Nahren Khizeran, HPE