HPE P17819-B21

NVIDIA T4 16GB Computational Accelerator

The HPE P17819-B21 NVIDIA T4 16GB Computational Accelerator is a versatile, power-efficient GPU designed to accelerate a wide variety of workloads, from AI inference and deep learning to high-performance computing (HPC) and graphics virtualization. Featuring the advanced NVIDIA Turing™ architecture with Tensor Cores, the T4 delivers breakthrough performance for both AI and traditional compute tasks while maintaining a low power footprint.Equipped with 16GB of GDDR6 memory and supporting PCIe Gen3 x16, the T4 enables high-throughput data processing for large datasets and complex models. Its low-profile, single-slot design makes it ideal for high-density data center deployments, delivering excellent scalability without additional cooling infrastructure.

Features

The NVIDIA T4 is fully compatible with HPE ProLiant, Apollo, and other enterprise-class servers, and integrates seamlessly into existing infrastructures to boost performance in AI, virtual desktop infrastructure (VDI), real-time analytics, and cloud workloads. It’s also optimized for mixed-precision computing, allowing organizations to achieve maximum efficiency without compromising accuracy.The HPE P17819-B21 NVIDIAT4 delivers exceptional AI inference and HPC acceleration with a power-efficient 70W TDP, making it an ideal choice for scale-out data centers and enterprise environments. Powered by the NVIDIA Turing GPU architecture, it combines 2,560 CUDA® cores and 320 Tensor Cores to accelerate diverse workloads, from image classification and speech recognition to recommendation engines and advanced analytics.With its balance of AI performance, graphics acceleration, and power efficiency, the P17819-B21 is an ideal solution for data centers looking to expand their computational capabilities without increasing operational costs.

Advanced Options

With 16GB of GDDR6 memory and a 320 GB/s memory bandwidth, the T4 ensures smooth and fast data handling, enabling reduced latency and improved inference throughput. It supports multiple precision formats—FP32, FP16, INT8, and INT4—allowing developers to balance performance and energy efficiency depending on workload requirements.The low-profile, single-slot design makes it deployable in virtually any modern server without additional cooling or significant rack space. The T4 is also fully compatible with the NVIDIA AI software stack, including CUDA®, cuDNN, TensorRT™, and major deep learning frameworks like TensorFlow, PyTorch, and MXNet.Integration with HPE ProLiant, Apollo, and other enterprise-class servers ensures seamless deployment. Additionally, vGPU support enables secure multi-user GPU sharing, expanding its capabilities for virtual desktop infrastructure and cloud applications.