Advantages
- Higher Bandwidth: 2039 GB/s (2039 GB/s vs 1.79TB/s)
- Higher Boost Clock: 2407 MHz (1410MHz vs 2407 MHz)
- Larger Memory Size: 96GB (80GB vs 96GB)
- More Shading Units: 24064 (6912 vs 24064)
- Newer Launch Date: January 2025 (November 2022 vs January 2025)
Basic
NVIDIA
Label Name
NVIDIA
November 2022
Launch Date
January 2025
Professional
Platform
Desktop
A800 PCIe 80 GB
Model Name
RTX PRO 6000
Ampere
Generation
Blackwell PRO
1065MHz
Base Clock
2017 MHz
1410MHz
Boost Clock
2407 MHz
PCIe 4.0 x16
Bus Interface
PCIe 5.0 x16
54,200 million
Transistors
92.2 billion
-
RT Cores
188
432
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.
752
432
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.
752
TSMC
Foundry
TSMC
7 nm
Process Size
5 nm
Ampere
Architecture
Blackwell 2.0
Memory Specifications
80GB
Memory Size
96GB
HBM2e
Memory Type
GDDR7
5120bit
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.
512bit
1593MHz
Memory Clock
1750 MHz
2039 GB/s
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.
1.79TB/s
Display and Media
No outputs
Outputs
4x DisplayPort 2.1b
Theoretical Performance
225.6 GPixel/s
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.
423.6 GPixel/s
609.1 GTexel/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.
1810 GTexel/s
77.97 TFLOPS
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.
115.8 TFLOPS
9.746 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.
1.810 TFLOPS
19.88
TFLOPS
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.
118.116
TFLOPS
Miscellaneous
108
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.
188
6912
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.
24064
192 KB (per SM)
L1 Cache
128 KB (per SM)
80MB
L2 Cache
128 MB
250W
TDP
600W
-
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.
1.4
3.0
OpenCL Version
3.0
-
OpenGL
4.6
8.0
CUDA
10.1
-
DirectX
12 Ultimate (12_2)
8-pin EPS
Power Connectors
1x 16-pin
160
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.
176
-
Shader Model
6.8
600W
Suggested PSU
1000 W
Benchmarks
FP32 (float)
/ TFLOPS
A800 PCIe 80 GB
19.88
RTX PRO 6000
118.116
+494%
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