… MediaKind‑modeled deployment scenarios show that consolidating software‑defined video workloads on EPYC CPU‑based servers can substantially reduce physical headend footprint, depending on workload mix, redundancy requirements, and codec profiles. …
Shrink Rack Space and Reduce Power Consumption in your Data Center Modernize your data center with AMD EPYC™ server processors and you could drastically reduce your rack footprint and power consumption to…
… Up to 43% more concurrent CPU Inference users Llama3.1-8B ¹ Up to 25% lower Memory Costs When consolidating 2P to 1P servers with per-socket licensing ² Up to 50% lower licensing costs When consolidating 2P to 1P servers with per-socket licensing ² Do More with Less A single AMD EPYC 9005 CPU-based… …
… Consolidating Workloads at the Edge Retail locations often run multiple applications locally, including point-of-sale systems, inventory management, security monitoring, and analytics. …
…workload consolidation Improved performance per server AMD EPYC Server CPUs are built to help keep IT environments secure and running smoothly. They are designed for enterprise-grade reliability and support modern data…
…New processors enable consolidation of programmable logic controllers (PLCs), machine vision, and human-machine interface (HMI) into a single industrial PC, while delivering the CPU performance required for real-time inspection and…
…ONNX models, AMD Quark is a deep-learning toolkit for quantizing and deploying models on a wide range of hardware backends. AMD Unified Inference Frontend Unified Inference Frontend (UIF) consolidates AMD EPYC…
…Unlike other AI workloads, our GNN analyzes sensor correlations and enables consolidation.” This consolidation allows AIBIZ to reduce the number of parameters in its models. “Very large parameter quantities necessitate the use…
… Get the Capacity to Do More Enhance your organization's data center capacity by consolidating existing workloads. …
…8 Our new 2030 rack-level energy efficiency goal has major implications for equipment consolidation. Using training of a typical AI model in 2025 as a benchmark, the gains could enable: 9…