NVIDIA Quadro RTX 8000
About GPU
The NVIDIA Quadro RTX 8000 is a powerhouse of a GPU designed for professional use. With a base clock of 1395MHz and a boost clock of 1770MHz, this GPU provides lightning-fast performance for demanding tasks such as 3D rendering, video editing, and scientific simulations.
One of the standout features of the Quadro RTX 8000 is its massive 48GB of GDDR6 memory, which allows for the handling of extremely large datasets and complex scenes without breaking a sweat. The memory clock speed of 1750MHz ensures rapid data access, while the 6MB L2 cache further enhances performance by reducing latency.
With a whopping 4608 shading units and a TDP of 260W, the Quadro RTX 8000 delivers unparalleled graphics processing capability. Its theoretical performance of 16.31 TFLOPS makes it well-suited for the most demanding professional applications, ensuring smooth and efficient workflow for professionals in industries such as design, animation, and engineering.
In addition to its raw power, the Quadro RTX 8000 also features advanced features such as real-time ray tracing and AI-enhanced workflows, making it a versatile tool for cutting-edge visualization and simulation tasks.
Overall, the NVIDIA Quadro RTX 8000 is an impressive GPU that offers uncompromising performance for professional users who demand the best. Its combination of raw processing power, generous memory capacity, and advanced features make it a top choice for professionals working in fields that require uncompromising performance.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
August 2018
Model Name
Quadro RTX 8000
Generation
Quadro
Base Clock
1395MHz
Boost Clock
1770MHz
Bus Interface
PCIe 3.0 x16
Transistors
18,600 million
RT Cores
72
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.
576
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.
288
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
48GB
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.
384bit
Memory Clock
1750MHz
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.
672.0 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.
169.9 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.
509.8 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.
32.62 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.
509.8 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.
15.984
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.
72
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.
4608
L1 Cache
64 KB (per SM)
L2 Cache
6MB
TDP
260W
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 6-pin + 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.
96
Suggested PSU
600W
Benchmarks
FP32 (float)
Score
15.984
TFLOPS
Blender
Score
3412
OctaneBench
Score
371
OpenCL
Score
125554
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
OpenCL