Cisco UCSC-GPU-P40 | Tesla P40 GPU, 24GB GDDR5, 3840 CUDA Cores, PCIe 3.0

Q: What is the primary use case for the UCSC-GPU-P40?
A: The UCSC-GPU-P40 is optimized for AI inference workloads, deep learning model deployment, virtualized desktop infrastructure (VDI), and professional visualization applications. It excels in data center environments requiring high inference throughput with INT8 operations and supports GPU virtualization for multi-user workstation scenarios.

Q: Does the Tesla P40 require active cooling?
A: No, the Tesla P40 uses passive cooling with a heatsink design and requires adequate server chassis airflow for thermal management. It is specifically designed for deployment in airflow-optimized rack servers like the Cisco UCS C-Series.

Q: Can this GPU be used for machine learning training?
A: Yes, the Tesla P40 supports machine learning training with 12 TFLOPS of FP32 compute performance and 3840 CUDA cores. However, it is particularly optimized for inference deployment due to its INT8 capabilities, delivering up to 47 TOPS for production AI applications.

Q: What power supply requirements are needed?
A: The UCSC-GPU-P40 requires a server with an 8-pin EPS power connector and sufficient power capacity to support 250W TDP. A minimum 600W power supply is recommended for single-GPU configurations.

Q: Is ECC memory supported?
A: Yes, the Tesla P40 includes ECC (Error-Correcting Code) memory support on its 24GB GDDR5 framebuffer, providing data integrity for mission-critical compute and virtualization workloads in enterprise environments.