Hyperion in the News

The accelerating complexity of artificial intelligence (AI) workloads and high-performance computing (HPC) is reshaping infrastructure requirements across industries. Large language models, multimodal AI, agentic AI, and advanced scientific simulations demand unprecedented compute power, memory bandwidth, and energy. These requirements extend beyond raw performance to include orchestration flexibility, cost optimization, and compliance readiness. Organizations have nearly unanimously adopted AI integration for their traditional workloads, and a recent Hyperion Research study indicates several key elements of continued expansion:

Steady progress has been made in the field of quantum computing, and early adopters have begun spending real money on real systems to solve real problems. If the progress continues–and it appears that it will in 2026–then it would be a good idea for HPC users to begin thinking about how they’re going to adopt quantum computing.

ST PAUL, Minn., November 18, 2025—Hyperion Research announced the recipients of the 21st round of HPC Innovation Excellence Awards at their annual HPC/AI Market Update Breakfast during SC25.

The purpose of this study was to gain a better understanding of the return on investments made by AI in HPC across critical science and engineering verticals. Key goals included creating a picture of investment expectations, snapshots of current integration projects in progress, budget allocations, provisioning methods, future plans, and challenges involving achieving desired goals in these areas.

The state of quantum is full of promise and in a constant flux, so much so that it’s hard to keep track of. In this webinar, we have Julliette Peyronnet of French quantum company Alice & Bob and Bob Sorensen of industry...

The AI arms race has made “GPU” and “gigawatt” household words, and for good reason: What’s happening with the scale of compute is unprecedented. But what about the underlying storage layer?