Cisco UCSC-GPU-RTXP6000 | RTX Pro 6000 GPU, 96GB GDDR7, 600W, PCIe 5.0, Blackwell

Q: What Cisco UCS servers support the UCSC-GPU-RTXP6000?
A: This GPU is supported in Cisco UCS C240 M8, C845A M8, and C245 M8 rack servers, as well as X-Series X210c M7 and X215c M8 compute nodes when paired with the UCSX-580P PCIe expansion node. Up to 8 GPUs can be installed in the C845A M8 chassis.

Q: How does the RTX Pro 6000 Blackwell differ from the RTX 6000 Ada Generation?
A: The RTX Pro 6000 Blackwell features 96GB GDDR7 memory versus 48GB GDDR6 in the Ada model, nearly double the memory bandwidth at 1.8 TB/s, 24,064 CUDA cores versus 18,176, and 5th-generation Tensor Cores with FP4 precision support for enhanced AI performance. The Blackwell architecture delivers significantly higher throughput for AI inference and large language models.

Q: What AI workloads can run on 96GB of GDDR7 memory?
A: The 96GB memory capacity enables running 70B-parameter language models in quantized precision, 30B-40B models at full precision, large-scale 3D rendering scenes, multi-modal AI workflows, and simultaneous inference workloads using Multi-Instance GPU (MIG) partitioning into up to 4 isolated instances.

Q: Does this GPU require special power or cooling considerations?
A: Yes, the 600W TDP requires dual 8-pin PCIe power connectors (supplied via Cisco CAI-CBL-GPU-N power cable included with the GPU) and robust data center airflow. The passive cooling design is optimized for server environments with sufficient front-to-back airflow, not for standard desktop workstations.

Q: Is NVLink supported for multi-GPU configurations?
A: Yes, the UCSC-GPU-RTXP6000 supports NVLink for high-speed GPU-to-GPU communication in multi-GPU configurations. NVLink bridges must be ordered separately (e.g., UCSX-NVL2-H200 for 2-way bridging) to enable increased bandwidth between GPUs for training and advanced rendering pipelines.