Introduction

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.?

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.

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.

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.

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.

Virtualization-Ready
Support for NVIDIA virtual GPU (vGPU) 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 workloads.

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.

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.

Processor

CUDA

Y

Graphics processor family

NVIDIA

Graphics processor

RTX A6000

Parallel processing technology support

2-Way NVLink

Memory

Discrete graphics card memory

48 GB

Graphics card memory type

GDDR6

Memory bus

384 bit

Ports & interfaces

Interface type

PCI Express x16

DisplayPorts quantity

4

Performance

DirectX version

12.07

Shader model version

5.17

OpenGL version

4.68

Virtual Reality (VR) ready

Y

Design

Cooling type

Active

Power

Power consumption (typical)

300 W

Supplementary power connectors

1x 8-pin

Weight & dimensions

Weight

1.23 kg

Packaging data

Package width

76.2 mm

Package depth

419 mm

Package height

187 mm

Package weight

1.66 kg