Dell PowerEdge R760xa

The Dell PowerEdge R760xa is a 2U rack server purpose-built to accelerate AI and machine learning workloads at enterprise scale. Built on the Intel Xeon Scalable 5th Generation processor platform (codenamed Emerald Rapids), the R760xa supports dual-socket configurations delivering substantial compute throughput for data-intensive AI pipelines. Its chassis is optimized for GPU density, accommodating up to four double-width PCIe Gen5 accelerators, enabling organizations to deploy high-performance inference engines and distributed training clusters within standard data center rack footprints. The platform's PCIe Gen5 fabric doubles the theoretical bandwidth of its predecessor generation, ensuring accelerators remain fed with data and minimizing bottlenecks between CPU, GPU, and storage subsystems.

The R760xa integrates Dell's OpenManage ecosystem and the iDRAC9 with Lifecycle Controller for full-stack lifecycle management, automation, and telemetry. Memory architecture supports DDR5 DIMMs across 16 DIMM slots, providing the high-bandwidth, low-latency memory headroom required by large language models and transformer-based inference workloads. Thermal and power delivery systems are engineered to sustain continuous GPU TDP loads, with tool-less component access and hot-swap power supplies designed to meet enterprise uptime requirements in production AI deployments.

Positioned at the intersection of GPU compute density and operational manageability, the R760xa is ideally suited for enterprises deploying generative AI services, real-time computer vision pipelines, scientific simulation, and high-throughput natural language processing. Its compatibility with NVIDIA and industry-standard accelerators, combined with Dell's Validated Designs for AI, allows IT teams to deploy pre-tested GPU-to-network-to-storage configurations, substantially reducing time-to-production for AI infrastructure projects launched from 2025 onward.

Ideal for

• Large language model inference serving for enterprise generative AI applications requiring low-latency GPU-accelerated response generation
• Distributed deep learning training of computer vision and NLP models across multi-node GPU clusters using high-bandwidth PCIe Gen5 interconnects
• Real-time video analytics and object detection pipelines in surveillance, manufacturing quality control, and retail intelligence deployments
• High-performance scientific simulation and computational fluid dynamics workloads leveraging dual Xeon Scalable CPUs alongside GPU co-processors
• Enterprise MLOps platforms running parallel model experimentation and hyperparameter tuning across multiple GPU accelerators within a single 2U chassis
• Edge-of-core AI inference consolidation, replacing multiple single-GPU servers with a denser, power-managed 2U platform to reduce rack space and operational overhead

Technical specifications

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