F8NXW Dell Poweredge R750 R7525 GPU Power Cable 12-PIN to 8-PIN 16IN

F8NXW Dell Poweredge R750 R7525 GPU Power Cable 12-PIN to 8-PIN 16IN

Dell-validated server-class GPU / accelerator — NVIDIA / AMD datacenter accelerator for Dell HPC / AI / virtualization deployments.

Specifications

• Part Number: F8NXW
• Brand: Dell
• Family: NVIDIA Tesla / V100 / A100 / H100 / H200 / L40 / L4 / RTX 6000 Ada / GH200 / AMD Instinct MI100/MI210/MI250/MI300
• Memory: See PN (24GB / 40GB / 80GB / 96GB / 141GB HBM2/HBM3/HBM3e)
• Form Factor: PCIe FH (full-height dual-slot) / SXM / OAM module
• Interface: PCIe Gen4 x16 / Gen5 x16 / SXM2-5 / NVLink
• TDP: Datacenter-class — 250W to 700W; chassis must support sustained thermal load

Compatibility

Dell datacenter GPUs require GPU-validated chassis with proper power + cooling + airflow. NOT every server slot accepts every GPU — verify chassis GPU-support matrix.

• Server GPU chassis types: R740xd / R750xa / R760xa (Dell) / DL380a Gen11 / Apollo 4500/6500 (HPE) / SR670 / SR675 (Lenovo)
• Power required: 8-pin / 16-pin EPS connectors — high-TDP GPUs (H100/H200) need 2× 8-pin or 16-pin 12VHPWR
• NVIDIA-Certified Systems: Dell / HPE / Lenovo offer NVIDIA-Certified configs with validated airflow + driver stack + NGC compatibility
• Multi-GPU configs (4×/8× H100): require NVLink fabric + SXM-baseboard or specialized GPU servers (DGX, HGX)

Use Cases

AI/ML training (large-model fine-tuning, distributed PyTorch / Megatron / DeepSpeed), AI inference (LLM serving, vision, recommender), HPC simulation (CFD, FEA, molecular), VDI acceleration (vGPU), real-time rendering, scientific compute (CUDA / OpenCL / OpenACC). H100/H200 = transformer-engine optimized for LLM. Mi300X = highest memory bandwidth for memory-bound workloads.

Ships worldwide from ICD, Cairo, Egypt. All parts are tested, inspected, and backed by ICD's quality guarantee.