Dell PowerEdge XE7745 GPU Server

The Dell PowerEdge XE7745 is a purpose-built GPU server designed to accelerate artificial intelligence workloads at scale, combining high-density GPU capacity with the flexibility of a PCIe-based architecture. Supporting up to 8 NVIDIA GPUs through a versatile PCIe expansion framework, the XE7745 enables organizations to configure the system for a wide range of AI compute demands—from large-scale inferencing pipelines to fine-tuning foundation models—without being locked into a single GPU form factor or generation. This architectural openness makes the platform particularly well-suited for enterprises that anticipate evolving their AI infrastructure over time.

At its core, the XE7745 is built around high-throughput CPU-to-GPU interconnects and enterprise-grade memory bandwidth, ensuring that data pipelines feeding GPU workloads remain unthrottled. The system accommodates NVLink-capable GPU configurations where supported, and its PCIe Gen 5 fabric delivers the low-latency, high-bandwidth connectivity required for tightly coupled multi-GPU training and inferencing tasks. Integrated Dell OpenManage and iDRAC9 management capabilities provide deep telemetry, thermal monitoring, and remote lifecycle management, reducing operational overhead in data center and edge deployments alike.

The PowerEdge XE7745 launched in Q2 2025 as part of Dell's XE series of accelerated computing platforms, which are specifically engineered for GPU-intensive workloads rather than general-purpose compute. Its edge AI deployment profile is reinforced by support for a broad ecosystem of NVIDIA GPU SKUs, making it adaptable for on-premises AI inference at the network edge, telecommunications infrastructure, and retail or industrial AI applications. The server integrates seamlessly with Dell's validated AI reference architectures and NVIDIA AI Enterprise software stack, offering enterprises a production-ready, validated platform from day one.

Ideal for

• Large-scale AI inferencing for natural language processing and computer vision models in enterprise data centers requiring high GPU throughput and low latency response times
• Fine-tuning large language models and foundation models on proprietary organizational datasets using up to 8 NVIDIA GPUs in a single 2U or 4U chassis footprint
• Edge AI deployments in telecommunications, retail, and industrial environments where on-premises GPU acceleration is required without full hyperscale data center infrastructure
• Multi-model serving environments where multiple AI models must run simultaneously across discrete GPU partitions to serve concurrent inference requests
• Video analytics and real-time image processing pipelines in smart city, surveillance, and manufacturing quality-control applications demanding sustained GPU compute
• AI research and development sandboxes allowing data science teams to rapidly prototype, benchmark, and validate neural network architectures across diverse NVIDIA GPU configurations

Technical specifications

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