The Dell PowerEdge R760xa is a next-generation, high-performance 2U rack server engineered to deliver superior performance for AI inference, machine learning training, HPC workloads, and data-intensive analytics. Featuring support for up to 4 dual-width GPUs and 4th Gen Intel® Xeon® Scalable processors, the R760xa offers a powerful balance of compute, GPU acceleration, and storage flexibility to meet the demands of today’s digital transformation across industries.
Telefly, a global China supplier of Dell, HPE, SuperMicro, and NVIDIA-based servers, offers the PowerEdge R760xa with original configurations, custom upgrade options, and competitive wholesale pricing. Whether you're an enterprise building a GPU farm, a university deploying AI clusters, or an edge AI startup scaling its infrastructure, Telefly ensures a secure and affordable procurement experience—backed by years warranty, global logistics, and expert support.
GPU-Optimized Architecture: Supports up to 4x NVIDIA H100, A100, A40, or L40 GPUs, or AMD Instinct MI210—ideal for AI training, deep learning, and visual rendering workloads.
Compute Scalability: Powered by Intel 4th Gen Xeon Scalable Processors (Sapphire Rapids) with up to 60 cores per CPU, massive cache memory, and advanced instruction sets for AI acceleration.
Memory Performance: Up to 2TB DDR5 RAM, leveraging higher bandwidth and energy efficiency—crucial for LLM training, genomics computation, and scientific modeling.
High-Speed I/O: PCIe Gen5 lanes ensure blazing-fast throughput for GPUs, NVMe storage, and interconnects, enabling full utilization of high-performance accelerators.
Storage Flexibility: Up to 8x 2.5" NVMe or SAS/SATA drives, with options for RAID configurations, HBA controllers, and secure boot options.
Advanced Cooling: Optimized thermal design and optional liquid cooling ensure stable operation under full GPU workloads, even in dense rack environments.
The Dell PowerEdge R760xa is trusted by enterprises across sectors to solve compute-intensive challenges:
Artificial Intelligence (AI) & Machine Learning: Train large-scale neural networks, transformer models, or generative AI (GenAI) tools.
Life Sciences & Healthcare: Run genomics, imaging AI, and biomedical simulations with accurate processing and data integrity.
Finance & FinTech: Accelerate risk analysis, fraud detection, and high-frequency trading algorithms using GPU parallel processing.
Research Institutes & Academia: Run simulations, digital twin models, or multi-user virtualization platforms for cutting-edge science.
Cloud Providers & SaaS Vendors: Deploy as GPU instances for AI-as-a-Service (AIaaS) and high-demand inference applications.
Manufacturing & Automation: Enable predictive maintenance, real-time analytics, and industrial vision with integrated AI compute.
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