SC25 Briefing: Hyperion Research HPC/AI Market Update (Breakfast, Tue Nov 18)
SC gathers thousands of scientists, engineers, researchers, educators, programmers, and developers to learn, share, and grow. During SC25, CPC invites you to the Hyperion Research HPC/AI Market Update Breakfast Briefing on Tuesday morning, Nov. 18.
Register here: HPC/AI Market Update Breakfast Briefing
What you'll hear
- Recent AI research findings - trends in model scale, training approaches, and benchmarks that impact compute planning.
- AI's impact on HPC workflows - where AI accelerates simulation, improves data pipelines, and shifts scheduling and resource priorities.
- Datacenter impacts and challenges - power and cooling constraints, rack density, interconnect choices, storage throughput, and cost models.
Why it matters for scientists and research leaders
If you run experiments, manage labs, or plan compute budgets, you need a clear view of where HPC and AI are headed. This briefing condenses market signals into practical guidance you can apply to proposals, procurement, and team roadmaps.
Expect data you can bring back to your group: capacity planning inputs, accelerators to watch, and operational considerations for the next 12-24 months.
How to get the most from the session
- Bring current metrics: queue times, GPU utilization, storage IOPS/throughput, and energy draw per rack.
- List upcoming workloads: model sizes, memory needs, checkpoint cadence, and interconnect sensitivity.
- Prepare questions on TCO, cooling strategies, scheduling policies, and timelines for adoption.
Logistics and learning resources
The briefing takes place Tuesday morning, Nov. 18, during SC25. Seats are limited.
Register: Save your spot
Learn more (video): HPC/AI Market Update overview
Next steps for your team
Use the insights to update your capacity plan, align grant requests, and validate your choice of accelerators and interconnects. Turn the findings into a one-page action list for your group within a week of the briefing.
If you're building skills across your research staff, explore focused AI learning paths by role here: AI courses by job.
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