NVIDIA GeForce RTX 4090
vs
NVIDIA RTX PRO 4000 Blackwell

vs
NVIDIA GeForce RTX 4090 vs NVIDIA RTX PRO 4000 Blackwell graphics card comparison

GPU Comparison Result

NVIDIA GeForce RTX 4090 vs NVIDIA RTX PRO 4000 Blackwell: Maximum Speed or Professional Efficiency

The identical 24 GB of video memory may create the impression that the GeForce RTX 4090 and RTX PRO 4000 Blackwell belong to the same class. In practice, these are two cards meant for different usage scenarios. The RTX 4090 is a large 450-watt flagship designed for maximum performance. The RTX PRO 4000 is a single-slot professional model with ECC memory and a power consumption of around 140-145 watts.

The new Blackwell architecture makes the RTX PRO 4000 more modern in terms of technology, but it does not compensate for the nearly twofold difference in the number of compute units. The choice between these cards is determined not by the GPU generation but by the task at hand: is maximum speed needed or a compact and predictable professional system?

Key Differences

Specification GeForce RTX 4090 RTX PRO 4000 Blackwell
Architecture Ada Lovelace Blackwell
CUDA Cores 16,384 8,960
FP32 Performance 83 TFLOPS 40 TFLOPS
Video Memory 24 GB GDDR6X 24 GB GDDR7 ECC
Memory Bus 384 bits 192 bits
Memory Bandwidth around 1008 GB/s 672 GB/s
Interface PCIe 4.0 PCIe 5.0 x16
Video Encoders 2 × NVENC 8th generation 2 × NVENC 9th generation
Video Outputs HDMI 2.1a, 3 × DP 1.4a 4 × DP 2.1b
Power Consumption 450 W around 140-145 W
Form Factor 3 slots in Founders Edition 1 slot

The RTX 4090 has 1.8 times more CUDA cores and boasts more than double the stated FP32 performance of the RTX PRO 4000. The professional model features more modern GDDR7 memory, PCIe 5.0, updated video encoders, and significantly lower power consumption.

Gaming: RTX 4090 is Significantly Stronger

If the primary task is gaming, the RTX 4090 is preferable. The larger GPU and wide 384-bit memory bus are particularly important at 4K resolution, when ray tracing, and at high-quality settings. The RTX PRO 4000 supports the architectural features of Blackwell and DLSS 4, but frame generation does not replace base performance.

Professional drivers also do not provide advantages in frame rates. Their aim is stable operation, certification, and compatibility with specialized applications. Purchasing the RTX PRO 4000 for a gaming computer, a user is primarily paying for ECC, a compact form factor, and a corporate ecosystem, rather than for additional FPS.

Rendering and Work Applications

In Blender, OctaneRender, Redshift, and other workloads that utilize CUDA or OptiX, the RTX 4090 should maintain a significant advantage. It has almost twice as many CUDA cores, higher compute power, and considerably faster memory. For a home workstation, independent artist, or small studio, it provides more performance per card.

The RTX PRO 4000 is designed for different conditions. It occupies a single slot and consumes approximately three times less power. This simplifies the installation of multiple GPUs, reduces power supply requirements, and allows for more compact cases.

The professional model is particularly well-suited for CAD, BIM, engineering design, medical visualization, and corporate workstations. ECC memory helps detect and correct individual data errors, and corporate drivers and application certification are critical where system stability is valued more than the speed of a single render.

Artificial Intelligence

Both cards have 24 GB of memory, so at the same precision of calculations, they can load models of comparable size. However, in common local AI tasks, the RTX 4090 will typically be stronger due to its more powerful GPU and high memory bandwidth.

The advantage of the RTX PRO 4000 lies in its fifth-generation Tensor cores, support for FP4, and ECC memory. In compatible software, FP4 allows for reduced video memory consumption and accelerated inference. This is useful for newly optimized models but does not guarantee automatic victory over the RTX 4090.

The stated AI TOPS figures cannot be directly compared without taking accuracy and sparsity into account. For the RTX PRO 4000, NVIDIA provides the FP4 result using sparsity, so a single large number does not reflect performance across all AI applications.

Video Processing and Monitors

The RTX PRO 4000 is significantly more modern in handling professional video. It is equipped with two ninth-generation NVENC encoders and two sixth-generation NVDEC decoders. Support for 4:2:2 formats for H.264 and HEVC is helpful when editing materials from professional cameras, in broadcasting, and in complex video pipelines.

The RTX 4090 has two eighth-generation NVENC encoders and one fifth-generation NVDEC decoder. For ordinary editing, game recording, and streaming, this is more than enough, but the RTX PRO 4000 offers a more current set of features for professional production.

Four DisplayPort 2.1b outputs are also more convenient for working configurations with multiple high-resolution monitors. The RTX 4090 is limited to DisplayPort 1.4a but is equipped with HDMI 2.1a, which is better suited for connecting gaming TVs.

What to Choose

GeForce RTX 4090 is better suited for:

  • 4K gaming;
  • ray tracing;
  • GPU rendering;
  • local AI where maximum speed is important;
  • work tasks without mandatory ECC requirements.

RTX PRO 4000 Blackwell is worth choosing for:

  • CAD, BIM, and engineering applications;
  • corporate workstations;
  • projects requiring ECC memory;
  • professional video processing 4:2:2;
  • compact systems and configurations with multiple GPUs;
  • work under strict power and cooling constraints.

Conclusion

The GeForce RTX 4090 is a more powerful card for gaming, rendering, and most local computations. The RTX PRO 4000 Blackwell is not a direct replacement; it has significantly fewer computational resources and lower memory bandwidth.

However, the professional model combines 24 GB of GDDR7 with ECC, a single-slot form factor, power consumption of around 140-145 W, DisplayPort 2.1b, and new video encoders. Where ECC, certified drivers, and tight installation are not needed, the RTX 4090 will deliver more speed. The RTX PRO 4000 is justified in systems where compactness, stability, and ease of use are more important than maximum benchmark results.

Advantages

  • Higher Bandwidth: 1008 GB/s (1008 GB/s vs 672.0GB/s)
  • More Shading Units: 16384 (16384 vs 8960)
  • Higher Boost Clock: 2617 MHz (2520MHz vs 2617 MHz)
  • Newer Launch Date: March 2025 (September 2022 vs March 2025)

Basic

NVIDIA
Label Name
NVIDIA
September 2022
Launch Date
March 2025
Desktop
Platform
Desktop
GeForce RTX 4090
Model Name
RTX PRO 4000 Blackwell
GeForce 40
Generation
Blackwell PRO W
2235MHz
Base Clock
1590 MHz
2520MHz
Boost Clock
2617 MHz
PCIe 4.0 x16
Bus Interface
PCIe 5.0 x16
76,300 million
Transistors
45.6 billion
128
RT Cores
70
512
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.
280
512
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.
280
TSMC
Foundry
TSMC
4 nm
Process Size
5 nm
Ada Lovelace
Architecture
Blackwell 2.0

Memory Specifications

24GB
Memory Size
24GB
GDDR6X
Memory Type
GDDR7
384bit
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.
192bit
1313MHz
Memory Clock
1750 MHz
1008 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.
672.0GB/s

Display and Media

1x HDMI 2.1
3x DisplayPort 1.4a
Outputs
4x DisplayPort 2.1b

Theoretical Performance

443.5 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.
251.2 GPixel/s
1290 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.
732.8 GTexel/s
82.58 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.
46.90 TFLOPS
1290 GFLOPS
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.
732.8 GFLOPS
80.928 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.
45.962 TFLOPS

Miscellaneous

128
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.
70
16384
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.
8960
128 KB (per SM)
L1 Cache
128 KB (per SM)
72MB
L2 Cache
48 MB
450W
TDP
140W
1.3
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
4.6
OpenGL
4.6
8.9
CUDA
10.1
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 16-pin
176
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
6.6
Shader Model
6.8
850W
Suggested PSU
300 W

Benchmarks

FP32 (float) / TFLOPS
GeForce RTX 4090
80.928 +76%
RTX PRO 4000 Blackwell
45.962
Vulkan
GeForce RTX 4090
254749 +31%
RTX PRO 4000 Blackwell
194652
OpenCL
GeForce RTX 4090
321810 +59%
RTX PRO 4000 Blackwell
202069