HPE GreenLake for high performance computing: The path to readily accessible HPC

[Cloud_Experts]

A cloud consumption-based model that enables companies to deploy HPC clusters on-premises can enhance performance, eliminate data transfer costs and provide enhanced security measures.

By Rudy Castillo, Principal Product Owner in the HPE GreenLake organization

In today's economic landscape, fiscal and monetary policy challenges have increased scrutiny over capital expenditures. While investing in upfront hardware, software, and infrastructure may seem beneficial in the short term, it often brings unexpected costs, downtime, and maintenance expenses.

Directors of IT face unique challenges when supporting high-performance computing (HPC) initiatives. HPC infrastructure demands substantial investments in cutting-edge technologies, making it particularly costly for small and mid-sized organizations.

The pivotal role of HPC in the health sciences highlights its life-changing potential. Research universities are working tirelessly to understand COVID-19's long-term effects and track virus mutations. Rapid scaling strains existing systems, necessitating careful capacity planning, hardware upgrades, and network expansion.

Cloud consumption models offer a cost-effective path for rapid HPC  adoption. HPE GreenLake for high performance computing is a cloud consumption-based model that enables companies to deploy the HPC cluster on-premises. Having the HPC cluster on-premise enhances performance and eliminates data transfer costs while providing enhanced security measures. This agility and flexibility enable companies to respond to market changes and quickly meet customer demands.

HPE GreenLake for HPC delivers:

• Ease of use: HPE GreenLake for HPC offers HPC administrators a user-friendly HPE GreenLake Center user interface (GLC). This integration with HPC cluster services provides a superior user experience compared to commercial UI software, which is often loosely integrated. HPE GLC enhances productivity, reduces the learning curve, and fosters collaboration, making HPC accessible to a broader range of users.
• Reduced initial investment: A significant advantage of HPE GreenLake for HPC is the reduction in initial costs. This is particularly valuable when businesses face financial pressures and have committed deliverables. By adopting a cloud consumption model, customers can start using HPC services with a manageable initial investment and pay only for what is needed. HPE GreenLake for HPC takes care of tasks such as cluster installation, software patching, and monitoring, allowing customers to reallocate IT resources to other critical operations.
• Improved budgeting: GreenLake for HPC provides customers with predictable costs, avoiding over-investment in HPC resources that may not yield expected returns. By budgeting for HPC services on a monthly or annual basis instead of making large capital investments, customers can plan more effectively for the long term, achieving greater financial stability.
• Enhanced agility: HPE GreenLake for HPC offers customers greater flexibility, allowing them to quickly pivot operations and adapt to market changes. Without worrying about sunk costs in infrastructure or hardware, customers can quickly scale HPC services up or down, future-proofing their HPC cluster. This responsiveness enables them to stay agile and respond promptly to market demands.

Looking into the Future

High-performance computing and artificial intelligence (AI) form a powerful combination. HPC's ability to handle vast amounts of data and execute complex calculations provides a strong foundation for AI applications. HPE GreenLake for HPC is set to launch HPE Machine Learning Development Environment in FYQ3 2023, offering a comprehensive platform for collaborative model training at an enterprise scale.

HPE Machine Learning Development Environment supports distributed training across many nodes, making it the perfect choice for tackling large and intricate models. Combined with HPE GreenLake for HPC, this powerful service enables efficient and scalable AI training, unlocking new possibilities for organizations.

In the face of challenging economic conditions, smart investments are crucial for long-term success. HPE GreenLake for HPC, a cloud consumption-based model, enables companies to deploy HPC infrastructure on-premises, catering to the growing demand for HPC and AI. The combination of HPE GreenLake for HPC and HPE Machine Learning Development Environment offers a powerful and flexible solution for HPC and AI workloads, accelerating innovation and helping organizations achieve their business goals. By embracing this model, IT directors can align their operations with long-term goals, react quickly to market changes, and achieve greater efficiency and competitiveness in the ever-evolving business landscape.

Learn more about HPE GreenLake for high performance computing and how it helps you make faster decisions and reduce time to discovery.

Read more about HPE GreenLake, the open and secure edge-to-cloud platform that powers data-first modernization.

Rudy Castillo is a Principal Product Owner at HPE in the HPE GreenLake organization, specializing in High-Performance Computing-as-a-Service. With a degree from USF, he currently resides in San Jose, California. Apart from his professional pursuits, Rudy finds joy in practicing yoga, engaging in strength training, and playing with his beloved dogs. His bilingual proficiency in Spanish is an asset, as he generously volunteers his time within the community, providing translation support whenever required.

Cloud Services Experts
Hewlett Packard Enterprise

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