Scaling Intelligence
Claim This Podcastby HPC-AI Leadership Organization
Podcast Overview
<p>Scaling Intelligence dives deep into the world of <strong>High-Performance Computing (HPC) and Artificial Intelligence (AI).</strong> Hosted by the HPC-AI Leadership Organization (HALO) and Intersect360 Research, the podcast brings you interviews and conversations with the people defining the next era of computing — from scientists and industry leaders to policymakers and innovators. Together we explore how HPC and AI are transforming research, reshaping industries, and influencing national strategies.</p> <p></p> <p>Whether it’s exascale breakthroughs, enterprise adoption, or the global race for AI leadership, Scaling Intelligence offers clear, accessible insights for professionals, researchers, and anyone curious about the future of technology.</p> <p><strong>RSSVERIFY</strong></p>
Language
🇺🇲
Publishing Since
8/7/2025
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Recent Episodes
June 15, 2026
Beyond the Benchmark: Sagar Dolas, SURF, on Exascale Scientific Productivity
<p>Sagar Dolas, Program Manager at SURF — the Dutch national organization for digital infrastructure in research and higher education — joins Kevin Jackson to challenge one of HPC's most enduring assumptions: that bigger machines produce more science.</p><p>Sagar argues that raw compute capacity and scientific productivity are not the same thing, and that the gap between them is growing. At SURF, he and his colleagues have tracked that classical simulation and modeling workflows can lose as much as 25 to 30 percent of their compute time to manual data movement between storage tiers — a problem rooted not in hardware limits but in orchestration, legacy software, and workflow design. He makes the case that if the HPC community had designed systems from the application side outward, a convergent infrastructure meeting the needs of astronomy, high-energy physics, and classical simulation workflows would have emerged a decade earlier.</p><p>Sagar goes further: the cultural and funding architecture of the field — CapEx for hardware, incidental OpEx for people — structurally underinvests in the expertise that makes machines useful. He proposes replacing the FLOP-count-focused Top500 with a new international ranking that celebrates whole-system scientific productivity, and calls on policymakers to shift from hardware-first to capabilities-first investment, measuring success by time to science, end-to-end workflow throughput, and communities served.</p>
May 20, 2026
From Cheyenne to Derecho: Thomas Hauser on GPUs, Data, and Global Climate Science
<p>Thomas Hauser is the former director of the Computational and Information Systems Lab (CISL) at the National Center for Atmospheric Research (NCAR) and a HALO member — one of the most consequential HPC facilities in Earth system science. In this episode, he traces his career from computational fluid dynamics and Cray-era supercomputing to leading the team behind Derecho — NCAR's newest system, deployed in 2023 with nearly 4x the throughput of its predecessor, Cheyenne, and with 20% of its capacity built on GPUs.</p><p>Hauser explains how CISL tackled the challenge of migrating million-line Fortran-heavy atmospheric codes to GPU architectures — not by mandate, but by showing scientists the energy savings. He describes the integration of NCAR's fragmented data silos into GDEX, a modernized data infrastructure now connected to the Open Science Data Federation, where analysis workflows that previously took weeks can complete in minutes. He discusses NCAR's international collaborations with EPCC in Edinburgh and HLRS in Stuttgart, and why sharing codes, I/O improvements, and datasets globally makes the entire atmospheric science community stronger.</p><p>The episode closes with Hauser reflecting on a career-long commitment to democratizing HPC access — from small institutions in the Rocky Mountain region to university researchers running AI workflows on national infrastructure.</p>
May 13, 2026
From POC to Production at 30% of Cloud Cost: Petr Bednarik on Bull’s Sovereign AI Stack
<p>Petr Bednarik is Enterprise AI Global Lead at Bull, the newly independent French sovereign AI company carved out of Atos and backed by the French sovereign fund. In this episode, Kevin Jackson talks with Petr about Bull's strategic transformation — from HPC hardware vendor to a full-stack AI provider covering infrastructure, data platforms, and end-to-end use case delivery. Petr brings a rare vantage point: he founded DataSentics, the 300-person AI consultancy Bull acquired four years ago, and now leads the use-case side of the combined business.</p><p>Petr explains Bull's four-challenge framework — impact, regional control, openness, and sustainability — and why Bull insists on starting every client engagement with use-case value before touching infrastructure. He walks through a concrete case from a major Asian financial institution where Bull deployed AI-powered speech-to-text and LLMs to automate call-centre compliance monitoring across thousands of agents. Scaling the validated cloud pilot to full production would have been prohibitively expensive; Bull's ability to match dedicated, AI-optimised on-prem hardware to the specific workload brought total cost to roughly 30% of a naïve cloud scale-out, while preserving the regulatory control the client required.</p><p>The conversation then turns to AI factories — national and institution-scale clusters where Bull goes beyond selling GPUs to helping governments drive real utilisation across ministries, railways, and public agencies. Petr also unpacks Bull's hybrid sovereignty model, the Bull Sequana AI open-source platform, and why BXI interconnect is Bull's near-term regional sovereignty win while European GPU alternatives remain years away.</p>
14 total episodes available
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Frequently asked questions
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- What is Scaling Intelligence?
<p>Scaling Intelligence dives deep into the world of <strong>High-Performance Computing (HPC) and Artificial Intelligence (AI).</strong> Hosted by the HPC-AI Leadership Organization (HALO) and Intersect360 Research, the podcast brings you interviews and conversations with the people defining the next era of computing — from scientists and industry leaders to policymakers and innovators. Together we explore how HPC and AI are transforming research, reshaping industries, and influencing national strategies.</p> <p></p> <p>Whether it’s exascale breakthroughs, enterprise adoption, or the global race for AI leadership, Scaling Intelligence offers clear, accessible insights for professionals, researchers, and anyone curious about the future of technology.</p> <p><strong>RSSVERIFY</strong></p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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