P17819-B21 HPE Nvidia 16GB T4 Computational Accelerator GPU Card. Excellent Refurbished with 1-Year Replacement Warranty. Call

HPE P17819-B21 The Pinnacle Acceleration GPU Card

The HPE P17819-B21 NVIDIA T4 GPU card represents a transformative leap in computational acceleration, engineered specifically for modern data center and enterprise workloads. This category encompasses high-performance, power-efficient accelerator cards designed to offload and dramatically speed up a diverse range of tasks from the central CPU. As artificial intelligence, machine learning, data analytics, and virtualized environments become central to business operations, the demand for specialized hardware like the T4 has surged. This product, bearing the HPE part number P17819-B21, signifies Hewlett Packard Enterprise's certified integration of NVIDIA's groundbreaking T4 Tensor Core GPU into its server ecosystem, ensuring optimal compatibility, reliability, and performance within HPE ProLiant and similar platforms. It is the go-to solution for organizations seeking to inject scalable, versatile AI and computational power into their existing infrastructure without compromising on energy efficiency or density.

Architectural Deep Dive Inside the NVIDIA T4 GPU

At the core of the HPE P17819-B21 card lies the NVIDIA T4 GPU, built on the revolutionary NVIDIA Turing architecture. Unlike purely graphics-oriented GPUs, the T4 is a computational accelerator designed from the ground up for data center versatility. Its architecture represents a careful balance of various processing cores to handle different computational paradigms efficiently. The defining feature of the Turing architecture within the T4 is the inclusion of Tensor Cores. These are specialized execution units dedicated to matrix operations, which are the fundamental building blocks of deep learning training and inference.

Advanced Computational Architecture Optimized

Mixed-Precision Training and Inference

By enabling mixed-precision calculations, the T4 allows models to be trained faster using FP16 while maintaining accuracy with FP32 master weights. This capability effectively doubles the throughput compared to previous-generation GPUs lacking Tensor Cores, making the T4 exceptionally potent for AI development and deployment.

Multi-Precision CUDA Cores and RT Cores

Complementing the Tensor Cores are 2,560 NVIDIA CUDA® cores, which handle the broader spectrum of parallel processing tasks. These cores are optimized for single-precision floating-point (FP32) and integer (INT32) operations, making the card excellent for scientific computing, data analytics, and traditional HPC workloads. Additionally, the inclusion of RT Cores, though more famous for ray tracing in graphics, can accelerate certain rendering and simulation tasks within professional visualization applications, adding another layer of versatility.

Multi-User, GPU-Accelerated

IT departments can use a single HPE P17819-B21 card to provide a rich, GPU-accelerated experience to multiple users on virtual desktops (VDI). This is crucial for knowledge workers using graphics-intensive applications, engineers needing CAD software access remotely, or healthcare professionals reviewing medical imaging from a thin client.

Data Analytics & High-Performance Computing

Beyond AI, the parallel processing prowess of the T4's CUDA cores accelerates complex data processing tasks. It can dramatically speed up database queries, in-memory analytics platforms like Apache Spark, and financial modeling. By offloading these computations from the CPU, overall server throughput is increased, and time-to-insight is reduced. While not designed for extreme double-precision (FP64) workloads like traditional HPC GPUs, the T4 excels in scenarios where its mixed-precision capabilities and efficiency are advantageous, such as in seismic analysis, molecular dynamics simulations, and climate research at the edge or in constrained environments.

Versatility vs. Specialization

Compared to high-end data center GPUs like the NVIDIA A100 or H100, the T4 is not designed for large-scale AI training. Instead, it excels at inference, virtualization, and medium-scale analytics, offering a much better performance-per-watt and performance-per-dollar ratio for those specific tasks. Compared to older generation cards like the P4 or consumer-grade GPUs, the T4 offers a more modern architecture (Turing), dedicated Tensor and RT Cores, better performance, and crucially, official support for data center features like vGPU and long-term reliability.

Compatibility

HPE P17819-B21  rigorously tests and validates this card for use in a broad portfolio of HPE ProLiant Gen10, Gen10 Plus, and later servers. This ensures seamless BIOS, iLO (Integrated Lights-Out), and system firmware recognition, minimizing deployment headaches and compatibility risks. The card is often included in the HPE server's SPP (Service Pack for ProLiant), ensuring firmware/driver updates are managed cohesively.