Dell EMC PowerEdge R750xa

The Dell EMC PowerEdge R750xa is a 2U dual-socket rack server engineered for GPU-intensive and AI inference deployments at the network edge. It accommodates up to 12 single-width or 6 dual-width GPU accelerators in a compact form factor, delivering exceptional compute density without sacrificing thermal management or power efficiency. The architecture supports 3rd-generation Intel Xeon Scalable processors with up to 48 cores per socket, enabling parallel processing of machine learning models, real-time analytics, and high-performance scientific computing across distributed edge environments.

Optimized for heterogeneous workloads, the R750xa features dedicated GPU interconnects with PCIe 4.0 support, providing ultra-low latency communication between processors and accelerators. Its integrated networking includes multiple 10GbE/25GbE ports with SmartNIC capabilities, enabling direct GPU-to-network data paths for streaming analytics and real-time inference pipelines. The dual-socket configuration balances computational power with operational efficiency, making it ideal for organizations requiring predictable, deterministic performance in AI inference clusters and edge AI deployments.

The platform delivers exceptional performance-per-watt through intelligent power distribution, redundant cooling systems, and advanced thermal profiling. Dell EMC's OpenManage Enterprise integration provides lifecycle management, predictive analytics, and automated remediation capabilities, reducing operational overhead in large-scale GPU compute environments while maintaining consistent inference latency for production workloads.

Ideal for

• Real-time AI inference serving for computer vision, NLP, and recommendation systems at enterprise edges
• Autonomous vehicle perception processing and edge decision-making at traffic intersections and fleet depots
• Telco RAN (Radio Access Network) processing and 5G edge computing for ultra-low latency applications
• Financial services GPU-accelerated algorithmic trading, fraud detection, and risk modeling on distributed infrastructure
• Scientific computing including molecular dynamics simulations, quantum chemistry, and climate modeling on HPC clusters
• Smart city sensor data processing, IoT stream analytics, and edge machine learning model inference pipelines

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.