Unlock game-changing GPU performance for AI-driven HPC with software-defined composable disaggregated infrastructure solutions
Wednesday, June 1, 2022 2:20 PM to 2:40 PM · 20 min. (Europe/Berlin)
Hall H, Booth J901 - Ground Floor
Information
This presentation addresses the following topic(s):
Ideal for AI-driven HPC applications that require maximum efficiency and performance from their GPU systems, fully integrated CDI systems enable HPC users to:
-Accelerate time-to-results for AI-driven GPU workloads at scale with a unified CDI solution; -Maximize GPU compute capabilities in tandem with storage and accelerators for new levels of efficiency, while extracting maximum value from hardware investments; -Use fewer resources to do more work, reducing physical- and carbon footprints, offering superior resource utilization.
Attendees will learn how software-defined CDI automates, orchestrates, and composes bare-metal servers from pools of disaggregated GPU, NVMe, FPGA, persistent memory, and network resources in seconds, and enables infrastructure to quickly adapt to the most challenging HPC workloads. Find out how turnkey, integrated CDI solutions can be applied to a wide range of use cases and vertical markets for HPC. Reduce capex/opex expenditures with unified CDI systems that prioritize infrastructure ecosystem efficiencies that can help research organizations meet the goals for sustainable development as defined by the EU.
Register today to learn more about simplified CDI from Liqid.
- What needs to be done in software to reduce the widening gap between theoretical performance and actual performance?
- When is cloud more efficient than on-premises computing, and vice versa? How should these hybrid environments be managed? (Alternately: Discuss the efficiencies and inefficiencies of operating all on-prem, all cloud, and hybrid.)
- Networks and composability: Is it really possible to build a system that’s good at everything without dramatically over-provisioning?
Ideal for AI-driven HPC applications that require maximum efficiency and performance from their GPU systems, fully integrated CDI systems enable HPC users to:
-Accelerate time-to-results for AI-driven GPU workloads at scale with a unified CDI solution; -Maximize GPU compute capabilities in tandem with storage and accelerators for new levels of efficiency, while extracting maximum value from hardware investments; -Use fewer resources to do more work, reducing physical- and carbon footprints, offering superior resource utilization.
Attendees will learn how software-defined CDI automates, orchestrates, and composes bare-metal servers from pools of disaggregated GPU, NVMe, FPGA, persistent memory, and network resources in seconds, and enables infrastructure to quickly adapt to the most challenging HPC workloads. Find out how turnkey, integrated CDI solutions can be applied to a wide range of use cases and vertical markets for HPC. Reduce capex/opex expenditures with unified CDI systems that prioritize infrastructure ecosystem efficiencies that can help research organizations meet the goals for sustainable development as defined by the EU.
Register today to learn more about simplified CDI from Liqid.
Format
On-site