Amulet Hotkey DXF-EXP-V - GPU computing processor - 4 GPUs - Tesla P6 - 16 GB GDDR5 - PCIe 3.0 x8 - with MXM GPU Expansion
- Unique PCIe module that enables GPU accelerators in PowerEdge FX2s
- Increase agility, flexibility and efficiency while supporting tough new workloads
- Designed to fit inside the FX2s chassis to maintain FX2 architecture and density advantages
- Four PCIe 3.0 slots per module
The Amulet Hotkey DXF-EXP-V is a unique PCIe expansion module that brings graphics virtualization and compute acceleration to Dell's FX2s platform. For new deployments or when modernizing existing FX2 infrastructure, GPUs enable organizations to extend ROI, enhance user experience, boost productivity.
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Uniquely architected for scalability and efficiency
Amulet Hotkey designed the DXF-EXP-V module and GPU cards in collaboration with Dell EMC and NVIDIA product engineering teams to deliver superior scalability, reliability and performance. Support up to 8x GPUs in an FX2s enclosure or mix-and-match GPUs and IO cards to expand server IO capacity or for native Fiber Channel ports.
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Rapid and automated workload deployment
The DXF-EXP-V module is fully integrated into the chassis thermal management system for quick implementation with minimal risk. This includes embedded thermal and PCIe management capabilities of the iDRAC and FX2s Chassis Management Controller (CMC). The Dell OpenManage systems management portfolio simplifies IT operations including server configuration management that automates bare-metal server and OS deployment.
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Simplify migration to Windows 10 VDI and app delivery
The increased graphics demands of Windows 10 applications drive the need for GPU acceleration to offload server CPUs and to improve the use experience. GPUs also enable organizations to realize VDI benefits for performance workstations with the density and efficiency of the FX2 architecture combined with graphics and compute acceleration.
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Software defined agility and flexibility
Incorporating GPUs into PowerEdge FX2 deployments creates a powerful base for a softwaredefined data center stack of virtualized compute, storage, and networking resources. Together they are ideally suited for workloads that require both CPU and GPU compute resources including IoT, big data analytics, HPC, AI and learning frameworks.
