Dell PowerEdge XE7740 AI Server
The Dell PowerEdge XE7740 Server is a cutting-edge platform designed to tackle the most demanding workloads, including AI, machine learning, and high-performance computing. With its robust capabilities and advanced architecture, the XE7740 is optimized for intensive data processing and compute-heavy applications.
Whether you're looking for a fully configured system or specific features and components, Alta offers a wide selection of used Dell PowerEdge XE7740 Server hardware.
Request a quote today for a complete system or upgrade. Alta is also interested in purchasing your surplus Dell PowerEdge AI servers—contact one of our Dell Product Managers at 800-546-2582 to learn more.
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“I have visited Alta’s warehouse, and they have just about everything.. It’s kind of like an IT Geek’s Dream in there.”
- Dustin Siemers, TechFixersDell PowerEdge XE7740 AI Server Information
The Dell PowerEdge XE7740 is a powerful 4U air-cooled server designed to meet the demands of diverse AI, data analytics, and inferencing workloads. Featuring dual Intel Xeon processors with P-cores, it supports up to 8 double-wide accelerators, such as Intel Gaudi 3 AI accelerators or NVIDIA H200 NVL GPUs, or up to 16 single-wide accelerators like NVIDIA L4 Tensor Core GPUs.
This flexibility allows enterprises to customize configurations for tasks ranging from fine-tuning generative AI models to extracting insights from massive datasets. With its cost-effective, scalable design, the XE7740 is a versatile solution for businesses advancing their AI capabilities.
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Dell PowerEdge XE7740 AI Server Specifications
- Form Factor: 4U air-cooled server for optimized performance and cooling.
- Processor: Dual Intel® Xeon® processors with P-cores for powerful computing.
- Accelerator Options:
- Up to 8 double-wide accelerators, including:
- Intel Gaudi® 3 AI accelerators.
- NVIDIA H200 NVL GPUs.
- Up to 16 single-wide accelerators, such as NVIDIA L4 Tensor Core GPUs.
- Up to 8 double-wide accelerators, including:
- Customization: Highly flexible to tailor server configurations for specific workloads.
- Use Cases: Ideal for fine-tuning or inferencing generative AI models and extracting insights from large datasets.
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