With the explosion of data and increase in Data Gravity, the key to driving innovation lies in finding faster solutions to complex problems by accessing vast amounts of data. High-performance computing (HPC) offers enterprises an affordable way to harness supercomputing capabilities. Unlike traditional supercomputers, HPC involves clusters of computational nodes connected to extensive storage and bandwidth. This setup allows HPC to efficiently handle even the most intricate scientific, engineering, and AI workloads.
According to Forrester Analytics Business Technographics survey data, there is growing adoption of HPC in both public and private cloud environments among North American and European enterprises. Currently, 30% of infrastructure technology decision-makers in firms using public cloud already run HPC there or plan to do so. 25% of internal private cloud users also have similar intentions. This trend is consistent across various industries, with 33% of respondents in financial services, 29% in media, entertainment, and leisure, and 26% in manufacturing either currently running or planning to implement HPC in public cloud environments.
Factors driving high-performance computing
- The demand for quick solutions to complex problems is driving the mainstream growth of HPC across industries.
- Cloud vendors like AWS, Azure, and Google Cloud are expanding their support for HPC with specialized options, while companies like HPE, IBM, and Penguin Computing offer hybrid cloud and managed services.
- Private cloud options for HPC are on the rise, with vendors providing easy-to-operate infrastructure packages, backed by powerful processors and advisory services.
- Faster networking technologies, particularly remote direct memory access (RDMA) fabrics, enable high-data-throughput applications like AI and ML in public-cloud-based HPC processing, leading to wider adoption of HPC for diverse use cases.
Emerging industry-specific use cases
The maturity and accessibility of HPC have led to the emergence of new industry-specific use cases beyond traditional areas like genetics, government, military, and academia. Cloud-based HPC has extended its reach to various sectors such as finance, retail, life sciences, government, energy, media, automotive, aerospace, and more.
How I&O leaders can adopt HPC to drive innovation
Infrastructure and operations (I&O) professionals have the important task of evaluating and setting up high-performance computing options that will empower scientists, engineers, and researchers to find answers to critical questions that shape the organization’s future. While focusing on the technology is crucial, it’s equally important to consider the people who will use the HPC environment for scientific, engineering, and AI workloads.
Here are key steps to keep in mind when starting with HPC:
Start with research and relationship building: Conduct upfront research to build a solid business case for HPC. Form a team with individuals who understand the organization’s business needs and have expertise in the technology. This team is vital to your success as HPC tasks require experts in data science and technology.
Factor in IT considerations for on-premise deployments: HPC-specific infrastructure has unique needs, such as cooling and floor space. Higher-powered computing will require more cooling and may be costlier. It’s essential to plan for accommodating additional racks and banks in the data center.
Collaborate with security peers on regulations: Industries relying on HPC often face strict regulations. Plan for higher restrictions on operations and work closely with security and compliance peers to meet these requirements. Getting security experts involved early on prevents potential rework.
Source: Digital Realty