NVIDIA Quadro RTX 4000
About GPU
The NVIDIA Quadro RTX 4000 GPU is a professional-grade graphics card that offers exceptional performance and features for demanding professional workloads. With a base clock of 1005MHz and a boost clock of 1545MHz, this GPU provides the processing power needed for complex 3D rendering, simulation, and visualization tasks.
One of the standout features of the Quadro RTX 4000 is its 8GB of GDDR6 memory, which allows for large and complex datasets to be loaded and manipulated with ease. The memory clock of 1625MHz ensures fast data access and transfer rates, while the 2304 shading units and 4MB of L2 cache contribute to the GPU's overall processing efficiency.
In terms of power consumption, the Quadro RTX 4000 has a TDP of 160W, making it relatively power-efficient for its performance level. This allows for the GPU to be used in a wide range of workstation configurations without requiring excessive cooling or power supply capacity.
In terms of performance, the Quadro RTX 4000 shines with a theoretical performance of 7.119 TFLOPS and a 3DMark Time Spy score of 7857, indicating its ability to handle demanding professional workflows and real-time graphics rendering.
Overall, the NVIDIA Quadro RTX 4000 GPU is a powerful and feature-rich graphics card that is well-suited for professional applications such as 3D design, animation, virtual reality, and more. Its high performance, advanced features, and efficient power usage make it an excellent choice for professionals in need of top-tier graphics processing power.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2018
Model Name
Quadro RTX 4000
Generation
Quadro
Base Clock
1005MHz
Boost Clock
1545MHz
Bus Interface
PCIe 3.0 x16
Transistors
13,600 million
RT Cores
36
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
288
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
144
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
8GB
Memory Type
GDDR6
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
1625MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
416.0 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
98.88 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
222.5 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
14.24 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
222.5 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
7.261
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
36
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
2304
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
160W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
7.5
Power Connectors
1x 8-pin
Shader Model
6.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Suggested PSU
450W
Benchmarks
FP32 (float)
Score
7.261
TFLOPS
3DMark Time Spy
Score
8014
Vulkan
Score
66795
OpenCL
Score
85184
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Vulkan
OpenCL