NVIDIA RTX 5000 Ada Generation

NVIDIA Ada Lovelace Architecture

NVIDIA RTX™ 5000 Ada Generation is the most balanced workstation GPU offering high-performance, real-time ray tracing, AI-accelerated compute, and professional graphics rendering within an optimized power envelope. Building upon the major SM enhancements from the Ada Lovelace GPU, the NVIDIA Ada Lovelace architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.

NVIDIA CUDA Cores

The NVIDIA Ada Lovelace architecture-based CUDA cores bring 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 such as desktop simulation for computer-aided engineering (CAE). The RTX 5000 enables two FP32 primary data paths, doubling the peak FP32 operations.

Third-Generation RT Cores

Incorporating 3rd generation ray tracing engines, NVIDIA Ada Lovelace architecture-based GPUs provide incredible ray traced rendering performance. A single RTX 5000 board can render complex professional models with physically accurate shadows, reflections, and refractions to empower users with instant insight. Working in concert with applications leveraging APIs such as NVIDIA OptiX, Microsoft DXR and Vulkan ray tracing, systems based on the RTX 5000 will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity. The RTX 5000 is up to 2X faster in ray tracing compared to the previous generation. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.

Fourth-Generation Tensor Cores

Purpose-built for deep learning matrix arithmetic at the heart of neural network training and inferencing functions, the RTX 5000 includes enhanced Tensor Cores that accelerate more datatypes and includes a new Fine-Grained Structured Sparsity feature that delivers up to 5X throughput for tensor matrix operations compared to the previous generation Tensor Cores. New Tensor Cores will accelerate two new TF32 and BFloat16 precision modes. Independent floating-point and integer data paths allow more efficient execution of workloads using a mix of computation and addressing calculations.

Higher Speed GDDR6 Memory

Built with 32GB GDDR6 memory, the RTX 5000 delivers the memory throughput required for memory intensive tasks such as ray tracing, rendering, and AI workloads. The RTX 5000 provides large graphics memory to address the larger datasets and models in latency-sensitive professional applications.

PCIe Gen 4

The RTX 5000 supports PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.

Error Correcting Code (ECC) on Graphics Memory

Meet strict data integrity requirements for mission-critical applications with uncompromised computing accuracy and reliability for workstations.

5th Generation NVDEC Engine¹

NVDEC is well suited for transcoding and video playback applications for real-time decoding. The following video codecs are supported for hardware-accelerated decoding: MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1 video formats. Video encoding at 8K/60 will be achievable for professional video editing.

8th Generation NVENC Engine

NVENC can take on the most demanding 4K or 8K video encoding tasks to free up the graphics engine and the CPU for other operations. The RTX 5000 provides better encoding quality than software-based x264 encoders. The RTX 5000 incorporate AV1 video encoding which is 40% more efficient than H.264 encoding for 4K HDR video. AV1 will provide better quality at the same bitrate bandwidth.

Graphics Preemption

Pixel-level preemption provides more granular control to better support time-sensitive tasks such as VR motion tracking.

Compute Preemption

Preemption at the instruction level provides finer-grain control over compute tasks to prevent long-running applications from either monopolizing system resources or timing out.

RTX IO

Accelerating GPU-based lossless decompression performance by up to 100x and 20x lower CPU utilization compared to traditional storage APIs using Microsoft’s new DirectStorage for Windows API. RTX IO moves data from the storage to the GPU in a more efficient, compressed form, and improving I/O performance.

NVIDIA Virtual GPU Software³

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.

NVIDIA^® RTX™ Experience

NVIDIA RTX Experience delivers a suite of productivity tools to your desktop workstation, including desktop recording in up to 8K, automatic alerts for the latest NVIDIA RTX Enterprise driver updates, and access gaming features. The application is available for download here

Software Optimized for AI

Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT delivers higher performance for both deep learning inference and High-Performance Computing (HPC) applications.

NVIDIA^® CUDA^® Parallel Computing Platform

Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and Direct Compute to accelerates techniques such as ray tracing, video and image processing, and computation fluid dynamics.

Unified Memory

A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.

NVIDIA GPUDirect^® for Video

GPUDirect for Video speeds communication between the GPU and video I/O devices by avoiding unnecessary system memory copies and CPU overhead.

NVIDIA Enterprise-Management Tools

Maximize system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for efficient operations.