HPE P05913-001

NVIDIA 32GB Computational Accelerator

The HPE P05913-001 NVIDIA NVIDIA 32GB Computational Accelerator is engineered to deliver breakthrough performance in AI, deep learning,and high-performance computing (HPC) workloads. Leveraging NVIDIA powerful architecture and 32GB of high-bandwidth memory, this GPU is optimized for data-intensive applications that require massive parallel computing capabilities. Ideal for enterprises, research institutions, and data centers, it accelerates complex computational tasks, reduces training time for AI models, and boosts scientific and engineering simulations. Seamlessly integrated into HPE ProLiant and Apollo servers, this Accelerator ensures consistent performance, thermal efficiency, and compatibility across a wide range of demanding environments.

Features

Designed for the next generation of compute-intensive tasks, the HPE P05913-001 GPU delivers exceptional performance powered by NVIDIA high-throughput parallel processing. Whether used for deep neural network training, real-time inference, molecular modeling, or seismic analysis, this 32GB Accelerator enhances productivity and accuracy across critical AI and HPC workflows.Its large memory buffer and efficient architecture reduce bottlenecks and allow handling of larger datasets with ease. It also supports multi-GPU configurations and scales efficiently with modern server infrastructure, making it ideal for high-density deployments in research labs, AI development centers, and financial modeling clusters. Optimized for CUDA, TensorRT, and other NVIDIA SDKs, it ensures developers and data scientists have the tools needed to maximize output with minimal overhead.

Advanced Options

The HPE P05913-001 NVIDIA 32GB Accelerator delivers enterprise-grade performance with the reliability and consistency required in mission-critical environments. Designed to maintain peak compute efficiency under sustained loads, its thermal design ensures cool operation even in dense server configurations. The card features error correction and hardware-based isolation to protect against data corruption and minimize downtime.