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Liqid provides composable disaggregated infrastructure (CDI) solutions that optimize AI+ML operations by providing adaptive architecture that can manage resources like NVIDIA GPUs, intelligent networking, NVMe, and other accelerators. Liqid CDI software addresses the limitations of traditional on-prem infrastructure for AI such as limited GPU config options, limited change readiness of existing static architecture, and poor resource utilization. Agile CDI infrastructure can fully optimize the data flywheel to accelerate algorithm maturation. Presented by Josiah Clark, Chief AI Architect, Liqid.
Personnel: Josiah Clark
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Personnel:
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Watch on Vimeo
Liqid CDI is built from the ground up to manage AI+ML workloads for maximum operational performance and footprint efficiency for accelerated time-to-value in AI+ML environments. Exponentially increase value of existing resources and deploy disaggregated resources for GPU-intensive AI+ML workloads. Learn how Liqid CDI can scale for multitenancy workloads and dominate the data center. Build a fully composable AI platform that can dynamically allocate resources for each stage of the AI workflow, from data ingest to cleaning and tagging, training to inference. Get under the hood of the Liqid Matrix CDI software platform and learn how it enables direct communication between GPUs, bypassing CPU for increased performance. Create ‘machine containers’ with Slurm, Kubernetes, and Vmware integration. Liqid Matrix CDI software and fabrics reduce costs, improve IT agility, and increase infrastructure flexibility to address evolving AI workloads driving innovation across industry verticals. Presented by Sumit Puri, CEO & Cofounder, Liqid.
Personnel: George Wagner, Josiah Clark, Sumit Puri
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