How AI Plus HPC equates to the future of advanced analytics

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The combination of artificial intelligence (AI) and high performance computing (HPC) can unlock the potential of each of these powerful analytical disciplines. This in turn can increase business agility, innovation and competitive differentiation.

To do this successfully, organizations must integrate AI and HPC infrastructure to create synergies through shared resources and improved flexibility. They must also work to improve collaboration between AI and HPC organizations, which are traditionally siled.

A recent online study conducted by Forrester Consulting and commissioned by HPE confirmed this idea. The study participants included 464 global decision-makers and practitioners, split into AI and / or HPC-based business decision-makers, AI experts, and HPC experts. Among the main results:

  • AI is an emerging discipline with high expectations

While many companies are currently investing in their AI disciplines, early returns show that AI capabilities are limited and most are still in the early stages of maturity. While 61% of AI experts say their companies are currently investing in infrastructure improvements, only 26% of AI projects are in full deployment, and less than half of proofs of concept (POC) deliver business value. expected.

  • Combining AI and HPC is the future

Most HPC experts say that workflows incorporating machine learning algorithms to improve HPC speed and reduce costs will occur next year. Half of AI experts say they use the HPC infrastructure to improve training for unsupervised learning and machine learning (ML) models by expanding the workflow with better data sourcing and computing capabilities. As a result, experts expect the unification of AI and ML to deliver key benefits in terms of innovation, competitive differentiation, business agility, and cost reduction.

  • Businesses need integrated infrastructure to leverage the promise of IA and HPC

More than eight in 10 AI experts say they will need to improve their infrastructure to meet future AI projects. Meanwhile, more than half of HPC experts say they need infrastructure upgrades to meet even current needs, and an additional 35% say if their current infrastructure meets needs, they will need future improvements. . With many of these future infrastructure enhancements delivering benefits to both AI and HPC, growing support for the integration of AI and HPC infrastructure is on the horizon.

Add Big Data to the Equation

The study found that synergies between HPC, AI, and big data can drive business benefits up and down. For example, big data has re-energized the science of neural networks, which has led to advancements in deep learning.

Today, deep learning (DL) enhances the benefits of HPC. Improving medical imaging processing is just one example. In fact, survey experts see many potential links between AI, HPC, and Big Data use cases. The main strategic business activities in which AI and HPC can play a critical role include business modeling and simulation, process automation and risk analysis.

Calculate your next move with HPC and AI

The in-depth survey of business decision makers, HPC experts and AI experts yielded three main recommendations:

  1. Look for synergies between workflows

Align organizations for better synergies between collaborative HPC and AI efforts to avoid data silos and improve infrastructure efficiency, enable better decision making, and drive improved innovation.

  1. Investigate a hybrid architecture

The increase in data growth and analytics for AI and HPC will require companies to invest in on-premises compute infrastructure. Choose technologies that support multiple use cases and mixed workflows, such as simulation, analysis, and AI). Take a close look at hybrid architectures to reduce bottlenecks when training complex AI models on large datasets.

  1. Expand to the edge

The growth of data at the edge will require companies to improve the AI ​​and analytics capabilities of the main data center and public cloud to deliver the information organizations need. Choose an infrastructure that can ingest and efficiently process data at the edge. The interconnectivity of the periphery and the core will become increasingly important.

For more information, you can register to download the full study: AI Plus HPC: The Future of Advanced Analytics: How AI and HPC Will Support Each Other and Fuse Over Time.


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