NVIDIA P100 16GB Remanufactured Cisco UCSC-GPUP10016G-RF | GPU Accelerator — UCSC-GPUP10016G-RF

Drive compute throughput in environments where GPU time matters. The Cisco remanufactured NVIDIA P100 16 GB is built for server-class deployments that need dependable acceleration for analytics, simulation, and other parallel workloads. With 16 GB of HBM2 memory and a PCIe host interface, it fits into established infrastructure without forcing a platform redesign. This card is a practical choice for teams extending the life of validated systems. Remanufactured hardware can help control acquisition cost while preserving access to a high-memory accelerator class that still has value in production clusters, lab environments, and specialized compute nodes. For organizations standardizing on Cisco infrastructure, the UCSC-GPUP10016G-RF part number simplifies sourcing and replacement planning. Choose this model when workload density, memory capacity, and compatibility matter more than chasing the newest GPU generation. It is designed for buyers who need a known quantity for server integration, not a consumer graphics card. That makes it a strong fit for procurement cycles where reliability, supportability, and budget discipline all have to align. Ideal For GPU-accelerated analytics nodes in enterprise data centers Compute clusters running parallel simulation workloads Replacement inventory for Cisco UCS server environments Lab and validation systems requiring a high-memory accelerator Why This Product 1 16 GB HBM2 memory for larger compute datasets 2 PCIe integration for established server platforms 3 Remanufactured Cisco sourcing for cost control 4 Compute-focused design for enterprise workloads