Designed to handle professional workflows, the HP NVIDIA RTX 5000 Ada Generation Graphics Card utilizes NVIDIA Ada Lovelace architecture. This graphics card features 32GB of ECC GDDR6 VRAM. The front panel of the card features four DisplayPort 1.4a outputs. Computationally intensive programs can utilize the 12,800 CUDA cores to accelerate tasks using CUDA or other APIs. The card features a blower-style fan cooler.
CUDA Cores
Double-speed processing for single-precision floating point (FP32) operations provides significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop.
3rd Gen RT Cores
With up to 2x the throughput over the previous generation, third-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also accelerates the rendering of ray-traced motion blur with greater visual accuracy.
4th Gen Tensor Cores
Fourth-generation Tensor Cores provide faster AI computer performance, delivering more than 2X the performance of the previous generation. These new Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up the execution of mixed floating-point and integer calculations.
32GB of VRAM
With 32GB of GDDR6 VRAM, the RTX 5000 gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like rendering, data science, and simulation.
Virtualization-Ready
Support for NVIDIA RTX Virtual Workstation (vWS) software allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances, enabling remote users to share resources to drive high-end design, AI, and compute workload.
PCIe Gen 4 Interface
PCI Express Gen 4 support provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.