The RTX 4000 stands out as the most powerful **single-slot workstation GPU**, delivering high-performance real-time ray tracing, AI-enhanced computing, and professional-grade graphics rendering. Leveraging significant SM improvements from the Ampere architecture, the **NVIDIA Ada Lovelace architecture** elevates ray tracing and tensor operations while enabling FP32 and INT32 tasks to run concurrently.

With the **Ada Lovelace architecture**, the CUDA cores provide up to 2X the single-precision floating point (FP32) throughput compared to its predecessor, offering remarkable performance gains for graphics-intensive applications like 3D modeling and computer-aided engineering (CAE) simulations. The RTX 4000 doubles the primary FP32 data paths, maximizing peak FP32 performance.

Equipped with third-generation **ray tracing engines**, the Ada Lovelace architecture provides exceptional rendering performance. A single RTX 4000 card can accurately render complex professional models with real-world shadows, reflections, and refractions, enabling instant visual insights. By integrating applications with APIs like NVIDIA OptiX, Microsoft DXR, and Vulkan ray tracing, the RTX 4000 achieves up to 2X faster ray tracing performance versus previous versions, enhancing image clarity and speed for hybrid rendering tasks.

Designed specifically for deep learning and matrix calculations critical to neural networks, the RTX 4000 features advanced **Tensor Cores** that accelerate various datatypes, incorporating a new Fine-Grained Structured Sparsity capability that yields up to 4X performance improvement in tensor operations. New TF32 and BFloat16 precision modes allow for versatile computational workloads with independent floating-point and integer execution paths.

With a robust 20GB **GDDR6 memory** setup, the RTX 4000 offers the optimal memory capacity for managing data sets efficiently in latency-sensitive professional environments.

The RTX 4000 supports **PCI Express Gen 4**, providing twice the bandwidth of Gen 3, significantly enhancing data transfer rates from the CPU for complex AI tasks and extensive data processing.

Ensure data integrity and reliability in mission-critical applications with advanced error-correcting technologies that guarantee accurate computing for professional tasks.

The NVDEC engine is expertly designed for transcoding and video playback, supporting real-time decoding of various codecs, including MPEG-2, VC-1, H.264, H.265, VP8, VP9, and AV1 formats. Achieve up to 8K/60 video encoding for high-quality professional video editing.

The NVENC engine excels in demanding 4K and 8K video encoding tasks, optimizing resource usage for the graphics engine and CPU. The RTX 4000 delivers superior encoding quality compared to software-based encoders like x264 and integrates AV1 encoding for enhanced 4K HDR video efficiency, achieving 40% better performance than H.264 under the same bandwidth conditions.

The pixel-level preemption offers precise control necessary for high-stakes tasks, such as VR motion tracking, ensuring timely responsiveness and enhanced accuracy.

Execute compute tasks with refined control at the instruction level, preventing monopolization of system resources and avoiding performance delays.

Improve GPU-based lossless decompression performance by up to 100 times while maintaining 20 times lower CPU usage than traditional storage APIs with Microsoft’s **DirectStorage** for Windows, enhancing overall data transfer efficiency from storage to the GPU.

Enable up to four **5K monitors** at 60Hz or dual 8K displays at 60Hz per card. The RTX 4000 supports HDR for 4K at 60Hz with 10/12-bit HEVC decode and up to 4K at 60Hz for 10-bit HEVC encoding. Each DisplayPort connection drives ultra-high resolutions of 4096x2160 at 120Hz with 30-bit color representation.

Achieve exceptional user control over desktop environments, maximizing productivity in extensive single-display or multi-display settings, particularly in today's expansive, widescreen display landscape.

Efficiently synchronize output across up to 32 displays from 8 GPUs using two Sync II boards in a single configuration, reducing the need for multiple machines in complex video visualization tasks.

Each frame lock connector is specifically engineered with a self-locking mechanism to maintain a secure connection with its locking cables, ensuring reliable and productive operations.

Deliver a seamless and immersive 3D Stereo experience ideal for various professional applications.

Enhance your mosaic display topology options with high-resolution display devices, achieving a maximum desktop size of 32K.

Achieve robust control of stereo effects via a dedicated link that synchronizes 3D stereo hardware directly with an NVIDIA professional graphics card.

NVIDIA RTX Experience offers a selection of productivity tools for your workstation, including desktop recording capabilities up to 8K, timely alerts for the latest NVIDIA RTX Enterprise driver updates, along with various gaming enhancements. Download the application here.

Deep learning frameworks including Caffe2, MXNet, CNTK, TensorFlow, and others facilitate significantly improved training times and superior multi-node performance. GPU-accelerated libraries like cuDNN, cuBLAS, and TensorRT provide enhanced performance for both deep learning inference and high-performance computing (HPC) applications.

Enable execution of standard programming languages such as C/C++ and Fortran, along with APIs like OpenCL, OpenACC, and Direct Compute to accelerate techniques utilized in ray tracing, video/image processing, and computational fluid dynamics.

Offers a cohesive 49-bit virtual address space that ensures smooth migration of data between CPU and GPU memory allocations, simplifying memory management.

Enhances communication efficiency between GPU and video I/O devices by minimizing unnecessary data transfers through system memory, reducing CPU workload.

Optimize system uptime with seamless management solutions for wide-scale deployments, facilitating remote control of graphics and display settings for streamlined operations.