NVIDIA QUADRO RTX A6000 48GB GDDR6 GRAPHICS CARD
NVIDIA NVLink Bridge
NVLink enables professional applications to easily scale memory and performance with multi-GPU configurations. With a low-profile design that fits into a variety of systems, NVIDIA NVLink Bridges allow you to connect two RTX A6000s. This delivers up to 112 gigabytes per second (GB/s) of bandwidth and a combined 96 GB of GDDR6 memory to tackle the most memory -intensive workloads.
|GPU Features||NVIDIA RTX™ A6000|
|GPU Memory||48 GB GDDR6 with error-correcting code (ECC)|
|Display Ports||4x DisplayPort 1.4*|
|Max Power Consumption||300 W|
|Graphics Bus||PCI Express Gen 4 x 16|
|Form Factor||4.4” (H) x 10.5” (L) dual slot|
|NVLink||2-way low profile (2-slot and 3-slot bridges)
Connect 2 RTX A6000
|vGPU Software Support||NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server|
|vGPU Profiles Supported||See the Virtual GPU Licensing Guide|
*Display ports are on by default for RTX A6000. Turn display ports off when using vGPU software.
NVIDIA Ampere Architecture 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.
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.
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 GPU will be available in an upcoming NVIDIA virtual GPU (vGPU) release.
|Dimensions||48 × 72 × 19 cm|