The Dell PowerEdge XE7745 is an AMD-powered 4U rack server explicitly designed for massive GPU-accelerated AI, Generative AI (GenAI), and High-Performance Computing (HPC) workloads. It focuses on delivering high compute density within a traditional air-cooled chassis for easier data center deployment.

Full Technical Specifications

Component	Specification
Form Factor	4U Rack Server
Processor	Two 5th Generation AMD EPYC™ 9005 Series processors, up to 192 Zen5 cores per processor
Memory	Up to 24 DDR5 DIMM slots, supports RDIMM, speeds up to 6400 MT/s, max capacity around 3 TB
Accelerators (GPU Options)	Up to 8x PCIe Gen 5 Double-Wide (DW) GPUs (e.g., NVIDIA H200 NVL, RTX PRO 6000 Blackwell Server Edition, or Intel Gaudi 3 PCIe accelerators) OR Up to 16x PCIe Gen 5 Single-Wide (SW) GPUs
Cooling	Air-cooled chassis design (optimized for high-performance GPUs)
Power Supplies	Multiple redundant AC or DC power supply units (PSUs)
Storage (Front Bays)	Supports high-performance, low-latency storage options (NVMe SSDs)
Networking	Advanced networking configurations (details like OCP 3.0 likely shared with XE7740)
Management	Integrated Dell Remote Access Controller (iDRAC) for system management
Workloads	AI/ML, GenAI Fine-Tuning/Inferencing, HPC, Digital Twins, Industrial Robotics

Description

The Dell PowerEdge XE7745 is Dell's AMD-based flagship server in the PowerEdge XE line, purpose-built for the most demanding AI, Generative AI (GenAI), and HPC enterprise workloads.

Distinguished by its dual 5th Generation AMD EPYC 9005 Series processors, it delivers an extremely high core count (up to 192 Zen5 cores per processor) and massive parallelism. The server's architecture is optimized for dense GPU deployment, accommodating up to 8 double-wide (DW) PCIe Gen 5 accelerators from leading vendors like NVIDIA and Intel.

A key feature of the XE7745 is its sophisticated air-cooled 4U chassis, which is designed to handle the thermal demands of high-wattage GPUs (like 600W models) while ensuring easy deployment into standard data center racks without the need for complex liquid cooling infrastructure retrofits. This makes it an ideal, cost-efficient, and highly scalable platform for enterprises looking to move AI pilot projects to full production scale, supporting everything from large language model (LLM) fine-tuning to real-time inferencing and data analytics.