NVIDIA Ampere Architecture-Based CUDA^® Cores

Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop. 

Up to 48 Gigabytes (GB) of GPU Memory

Ultra-fast GDDR6 memory, scalable up to 96 GB with NVLink^®, gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like data science and simulation.

Second-Generation RT Cores

With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-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 speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.

Virtualization-Ready

Support for NVIDIA virtual GPU (vGPU) software (RTX A6000 and the RTX A5000) 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, graphics, and compute workloads.*

Third-Generation Tensor Cores

New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.

PCI Express Gen 4

Support for PCI Express Gen 4 provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.

Third-Generation NVIDIA NVLink

Increased GPU-to-GPU interconnect bandwidth provides a single scalable memory to accelerate graphics and compute workloads and tackle larger datasets.

Power Efficiency

Featuring a dual-slot, power efficient design, the RTX A6000 is up to 2X more power efficient than Turing GPUs and crafted to fit into a wide range of workstations from worldwide OEM vendors.

*Virtualization support for the RTX A6000 is available now. Support for the RTX A5000 will be available in an upcoming NVIDIA virtual GPU (vGPU) release.