From Prototype to Production: WEKA for Scalable HPC & AI
Wednesday, June 24, 2026 3:00 PM to 3:20 PM · 20 min. (Europe/Berlin)
Hall H, Booth L01 - Ground Floor
HPC Solutions Forum
AI FactoriesHPC in the Cloud and HPC ContainersIndustrial Use Cases of HPC, ML and QCSovereignty in AIStorage Technologies and Architectures
Information
Enterprise teams are moving beyond pilots to running HPC and AI at real scale—where inconsistent performance, runaway cloud costs, and underutilized GPUs quickly become business risks.
In this session, WEKA shows how Neuralmesh serves as the data foundation that enables production-scale HPC and AI, delivering the performance, consistency, and flexibility needed to keep accelerators fully utilized across on-prem and cloud environments.
Through real-world use cases—from AI workloads to genomics—we’ll demonstrate how Neuralmesh removes data bottlenecks, improves efficiency, and enables predictable cost and performance at scale.
The takeaway: at production scale, success in HPC and AI depends not just on compute—but on a data architecture built to keep it continuously fed.
In this session, WEKA shows how Neuralmesh serves as the data foundation that enables production-scale HPC and AI, delivering the performance, consistency, and flexibility needed to keep accelerators fully utilized across on-prem and cloud environments.
Through real-world use cases—from AI workloads to genomics—we’ll demonstrate how Neuralmesh removes data bottlenecks, improves efficiency, and enables predictable cost and performance at scale.
The takeaway: at production scale, success in HPC and AI depends not just on compute—but on a data architecture built to keep it continuously fed.
HPC Solutions Forum Questions
How are high-performance data platforms evolving beyond individual technologies like parallel file systems and burst buffers?What is most important: maximizing performance in a given power envelope, minimizing power costs, or being green? Do you have to choose?Discuss your solution in terms of benefits for specific use cases, rather than general horizontal terms like HPC, AI, performance, or scalability.
Format
on-site
