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Performance for Endless Possibilities

The NVIDIA RTX 5000 Ada Generation is purpose-built for today’s professional workflows. Built on the NVIDIA Ada Lovelace architecture, it combines 100 third-generation RT Cores, 400 fourth-generation Tensor Cores, and 12,800 CUDA® cores with 32GB of graphics memory to accelerate rendering, AI, graphics, and compute workloads. RTX 5000-powered workstations equip you for success in today’s demanding business landscape.

NVIDIA Ada Lovelace Architecture

Experience fast, interactive performance—powered by the latest NVIDIA Ada Lovelace architecture-based GPU—with ultra-fast, onboard graphics memory technology and optimized software drivers for professional applications. The Shader Execution Reordering (SER) system allows on-the-fly organization and reordering of workloads, grouping similar performing threads so the streaming multiprocessor (SM) and RT Core can operate more efficiently.

CUDA Cores

The NVIDIA Ada Lovelace architecture-based CUDA® cores deliver up to 2X the single-precision floating-point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads like desktop simulation for CAE.

Third-Generation RT Cores

Third-generation RT Cores provide up to 2X the throughput of the previous generation and the ability to run ray tracing with either shading or denoising capabilities concurrently. This accelerates renders for M&E content creation, AECO design evaluations, and manufacturing virtual prototyping. Third-generation RT Cores deliver up to 2X the ray-tracing performance over the previous generation, delivering groundbreaking performance for photorealistic rendering. Enhanced RT Cores combined with new SER technology dynamically reorder inefficient workloads, dramatically improving shader performance to accelerate end-to-end ray-traced image rendering performance.

Fourth-Generation Tensor Cores

Fourth-generation Tensor Cores provide up to 5X faster AI training performance than the previous generation with FP16 precision. Support for the new FP8 data format for inference provides more than 5X faster performance than the previous generation and reduces data memory usage by half (compared to the FP16 data format).

Encode and Decode Engines

RTX 5000 includes two video encode engines and two decode engines, including support for the AV1 video format and the performance required for multi-stream video applications for security and video serving.

PCIe Gen 4

RTX 5000 supports PCIe Gen4, which doubles the bandwidth of PCIe Gen3 from 15.75GB/s to 31.5GB/s for x16 connections, improving data transfer speeds from CPU memory for data-intensive tasks such as AI, data science, and creating large 3D models and scenes. Faster PCIe performance also accelerates GPU DMA transfers, providing faster video data transfers from GPUDirect for Video-enabled devices and faster IO with GPUDirect Storage.

GPU Memory

RTX 5000 features 32GB of GDDR6 memory, providing the memory needed for rendering, data science, engineering simulation, and other GPU memory-intensive applications. With greater memory bandwidth than the previous generation, RTX 5000 can move data between the GPU and GPU memory faster, resulting in better graphics, compute, and rendering performance.


Support for virtualization allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances. This enables remote users to share resources to drive high-end design, AI, and compute workloads.


Four DisplayPort 1.4a connectors, support for multiple 8K monitors, NVIDIA Quadro Sync, Mosaic, and Warp and Blend enable massive immersive environments for CAVE, video walls, and location-based entertainment deployments.

Extended Reality

Support for the latest high-resolution HMD devices, high-performance graphics, and large 32GB of GPU memory enables the creation of incredible AR and VR experiences for training, product validations, building walkthroughs, and compelling entertainment.

Form Factor and Power Efficiency

With a dual-slot, power-efficient design, RTX 5000 fits into a wide range of workstation chassis, providing professionals with a generous selection of compatible workstations from worldwide OEM vendors.

Motion BVH

Hardware-accelerated rendering of motion blur—a common cinematic effect that’s difficult to render—means artists no longer need to rely on traditional methods of using motion vectors to achieve motion blur. Motion vectors give the artist flexibility to adjust motion blur in post but require visual fixes for reflections and translucency.


The Ada Lovelace GPU architecture features a new Optical Flow Accelerator and AI-based DLSS Super Resolution with DL denoiser that boost DLSS 3.0’s frame rates up to 4X compared to the previous version while maintaining or exceeding native image quality.

NVIDIA RTX Broadcast Engine

The NVIDIA RTX Broadcast Engine transforms offices into broadcast studios, upgrading standard webcams and microphones into premium, smart devices with the power of AI. Improve the video and audio quality of livestreams with AI capabilities such as virtual backgrounds, webcam auto frame, and microphone noise removal. With dedicated AI processors called Tensor Cores on NVIDIA RTX GPUs, the AI networks can run in real time alongside applications.

NVIDIA-Certified Systems For Accelerated Computing

NVIDIA RTX 5000 delivers groundbreaking performance for professionals in design, content creation, engineering, research, and data science. RTX 5000 GPUs in NVIDIA-Certified workstations are powered by third-generation RTX technology and enable fast photorealistic, ray-traced rendering, graphics, compute, and AI-accelerated workflows. Certified workstations have been validated to make optimal use of GPUs. Well-balanced designs that account for issues, such as thermal management and PCIe configuration, ensure that system resources are used to their fullest potential.

SKU: RTX 5000 ADA Categories: , Tags: , , ,
Weight 3 kg


Graphics Card


NVIDIA RTX 5000 Ada Generation


NVIDIA Ada Lovelace Architecture



Process Size

4 nm NVIDIA Custom Process


76.3 billion

Die Size

608.4 mm

CUDA Parallel Processing Cores


NVIDIA Tensor Cores




Single-Precision Performance1


RT Core Performance1

151.0 TFLOPS

Tensor Performance1

1044.4 TFLOPS2

GPU Memory

32 GB GDDR6 with ECC

Memory Interface


Memory Bandwidth

576 GB/s

Max Power Consumption


Graphics Bus

PCI Express 4.0 x16

Display Connectors

DP 1.4a (4)3

Form Factor

4.4″ H x 10.5″ L x Dual Slot

Product Weight

1079.7 g

Thermal Solution

Blower Active Fan

vGPU Software Support3

NVIDIA Virtual PC/Virtual Applications (vPC/vApps)
NVIDIA RTX Virtual Workstation (vWS)3

vGPU Profiles Supported

1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB, 12 GB, 16 GB, 24 GB

NVIDIA 3D Vision® and 3D Vision Pro

Support via 3 pin mini DIN

Frame Lock

Compatible (with Quadro Sync II)


Not Supported

Power Connector

1x 16-pin CEM5 PCIe


2x | 2x (+AV1 Encode & Decode)

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