Dell PowerEdge R750XA

The Dell PowerEdge R750xa is a powerful, GPU-accelerated 2U dual-socket rack server engineered to support AI/ML, deep learning, high-performance computing (HPC), and GPU virtualization at scale. Designed for maximum density and performance, the R750xa supports up to four double-width GPUs and leverages the power of 3rd or 4th Gen Intel Xeon Scalable processors, PCIe Gen4 or Gen5, and high-speed DDR4/DDR5 memory—making it the ultimate platform for demanding AI, VDI, and data-intensive workloads.

As a reliable China supplier, Telefly offers the Dell PowerEdge R750xa in customized configurations to meet specific business needs across industries. We provide flexible server options with competitive wholesale pricing, up-to-date pricelist, and attractive buy discount tiers. All systems are backed by full years warranty and expert technical support—ensuring performance, reliability, and value for enterprise buyers, cloud providers, and AI infrastructure developers.

Dell PowerEdge R750xa – Key Features & Technical Overview

Dual Intel Xeon Scalable CPUs: Supports 3rd or 4th Gen Intel Xeon Scalable processors with up to 60 cores per socket, enabling parallel compute for complex AI/ML workloads.

Memory Support: Up to 2TB of DDR4 or DDR5 ECC RDIMM, perfect for data-rich environments like analytics, modeling, and simulation.

GPU Capability: Supports up to 4 double-width GPUs (e.g., NVIDIA A100, L40, H100) or 6 single-width GPUs, ideal for model training, inference, or rendering.

PCIe Expansion: Up to 8 x PCIe Gen4/Gen5 slots for high-speed interconnects, accelerators, and NVMe storage adapters.

Flexible Storage: Accommodates up to 8 x 2.5” or NVMe drives, including U.2 or E3.S form factors, with advanced RAID options.

Intelligent Management: Built-in iDRAC9 with Lifecycle Controller, OpenManage Enterprise, and telemetry tools for automation and monitoring.

Industry Applications – Engineered for Performance at Scale

The PowerEdge R750xa is purpose-built for GPU-intensive and latency-sensitive use cases across modern industries:

AI / ML / Deep Learning: Accelerate training and inference workflows with NVIDIA-certified architecture and massive GPU compute density.

Big Data Analytics & Data Science: Run high-speed simulations, real-time predictions, and pattern recognition using large datasets.

Graphics Rendering & Virtual Workstations: Use with NVIDIA vGPU for content creation, CAD, and 3D rendering in media and manufacturing sectors.

Scientific Research & HPC: Supports simulation-heavy tasks in life sciences, chemistry, energy, and astrophysics research labs.

Medical Imaging & Genomics: Enables AI-assisted radiology, medical diagnostics, and genomic sequencing analysis with GPU offloading.

Enterprise VDI: Deploy GPU-enabled virtual desktops for knowledge workers, engineers, and designers using Citrix or VMware Horizon.