NVIDIA GeForce RTX 5090
vs
NVIDIA RTX PRO 4500 Blackwell

vs
NVIDIA GeForce RTX 5090 vs NVIDIA RTX PRO 4500 Blackwell graphics card comparison

GPU Comparison Result

NVIDIA GeForce RTX 5090 vs RTX PRO 4500 Blackwell: Twice the Power or ECC and 200W

NVIDIA GeForce RTX 5090 and RTX PRO 4500 Blackwell both feature 32 GB of GDDR7 memory, but they are designed for completely different systems. The RTX 5090 extracts the maximum performance from the Blackwell architecture, while the RTX PRO 4500 sacrifices speed for ECC, professional drivers, and a mere 200W of power consumption.

For gaming, rendering, and local AI, the GeForce is significantly more powerful. The professional model is necessary where application certification, stability during long calculations, and predictable deployment of workstations are critical.

Key Differences

Feature GeForce RTX 5090 RTX PRO 4500 Blackwell
Architecture Blackwell Blackwell
CUDA Cores 21,760 10,496
Video Memory 32 GB GDDR7 32 GB GDDR7 with ECC
Memory Bus 512 bit 256 bit
Bandwidth 1,792 GB/s 896 GB/s
NVENC 3 blocks of 9th gen 2 blocks of 9th gen
Power Consumption 575W 200W
Video Outputs DisplayPort and HDMI 4 × DisplayPort
Purpose Gaming, rendering, AI, editing CAD, design, visualization

The RTX 5090 boasts more than double the number of CUDA cores and twice the memory bandwidth. The RTX PRO 4500 consumes 375W less and offers error-correcting memory.

RTX 5090 is Much Faster

The computational resources of the cards are in different classes. The RTX 5090 has 21,760 CUDA cores versus 10,496, a 512-bit bus compared to 256 bits, and a bandwidth of 1,792 GB/s against 896 GB/s.

This does not guarantee a twofold advantage in every program: the result depends on the engine, drivers, and the nature of the workload. However, in Blender, CUDA computations, editing, image generation, and other well-scalable tasks, the RTX 5090 should be significantly faster.

The difference in local AI is particularly important. Both cards can accommodate a model up to 32 GB in memory, but identical capacity does not mean identical speed. The RTX 5090 processes data faster due to a greater number of computational units and a memory subsystem that is twice as wide.

Additionally, the GeForce has three 9th generation NVENC encoders versus two in the RTX PRO 4500. This could provide an advantage when exporting video and simultaneously processing multiple streams.

Speed Comes at the Cost of Power Consumption

The RTX 5090 is rated for 575W. It requires a powerful power supply, a spacious case, and substantial cooling. Under sustained load, such a card produces a lot of heat even when used as a computational accelerator rather than for gaming.

The RTX PRO 4500 is limited to 200W. It can be more easily installed in a standard workstation, cooled, and used in an office, studio, or engineering department. With several computers under continuous load, the difference in thermal output and consumption becomes significant.

However, the RTX PRO 4500 is not an economical version of the RTX 5090. The reduction in power consumption comes with almost a twofold reduction in its primary computational resources.

What ECC Memory Provides

The memory of the RTX PRO 4500 supports ECC - error detection and correction for single bit errors in data. In gaming, normal editing, and most home tasks, this feature is nearly useless.

ECC is important in lengthy engineering calculations, modeling, scientific processing, and other workloads where a random error could ruin the results of hours of work. It does not speed up computations but reduces the risk of corrupted data.

Thus, the 32 GB in both cards is the same in volume but not in purpose. In the RTX 5090, memory operates faster, while in the RTX PRO 4500, it is better protected from errors.

What to Pay for in the Professional Series

The main advantage of the RTX PRO 4500 is not found in the specification table. The card is designed for professional drivers, certified configurations, and compatibility with specialized software.

For the home user, this rarely justifies the loss of performance. But if a driver failure halts the work of an engineering department, a configuration that has been officially tested could be more important than a reduced rendering time.

The professional card also integrates better into corporate infrastructure, where consistent configurations, extended support, and predictable driver updates are essential.

Gaming, Editing, and Rendering

For a gaming PC, the RTX 5090 is undoubtedly the more suitable choice. It offers significantly larger resources for rasterization, ray tracing, and neural network scaling. Purchasing the RTX PRO 4500 for gaming means overpaying for ECC and certification with noticeably lower frame rates.

In Blender, DaVinci Resolve, Adobe Premiere Pro, and mass content creation applications, GeForce also demonstrates better performance. More CUDA cores, faster memory, and an additional NVENC block give it an edge in most tasks.

The RTX PRO 4500 only makes sense when the workflow requires ECC, certified drivers, or a specific professional configuration.

What to Choose

GeForce RTX 5090 is better suited when you need:

  • Maximum gaming performance;
  • Fast GPU rendering;
  • Local execution of AI models;
  • Image and video generation;
  • Editing and hardware encoding;
  • Maximum speed with 32 GB of memory.

RTX PRO 4500 Blackwell is justified when you need:

  • GDDR7 memory with ECC;
  • Certification of professional applications;
  • Corporate drivers;
  • Power consumption around 200W;
  • Installation in a standard workstation;
  • Predictability is more important than peak speed.

Conclusion

The RTX 5090 offers more than twice the CUDA cores, twice the memory bandwidth, and an additional NVENC block. For gaming, rendering, editing, and local AI, it is significantly stronger.

The RTX PRO 4500 is not purchased to win benchmarks. Its benefits lie in ECC, professional drivers, certification, and the ability to obtain 32 GB of memory at a power consumption of 200W.

The RTX 5090 is needed to complete tasks as quickly as possible. The RTX PRO 4500 is designed for workstations to reliably perform their tasks every day.

Advantages

  • More Shading Units: 20480 (20480 vs 10496)
  • Higher Boost Clock: 2617 MHz (2520 MHz vs 2617 MHz)
  • Larger Memory Size: 32GB (28GB vs 32GB)
  • Higher Bandwidth: 896.0GB/s (280.0GB/s vs 896.0GB/s)
  • Newer Launch Date: March 2025 (January 2025 vs March 2025)

Basic

NVIDIA
Label Name
NVIDIA
January 2025
Launch Date
March 2025
Desktop
Platform
Desktop
GeForce RTX 5090
Model Name
RTX PRO 4500 Blackwell
GeForce 50
Generation
Blackwell PRO W
2235 MHz
Base Clock
1590 MHz
2520 MHz
Boost Clock
2617 MHz
PCIe 5.0 x16
Bus Interface
PCIe 5.0 x16
Unknown
Transistors
45.6 billion
160
RT Cores
82
640
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.
328
640
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.
328
TSMC
Foundry
TSMC
-
Process Size
5 nm
Blackwell 2.0
Architecture
Blackwell 2.0

Memory Specifications

28GB
Memory Size
32GB
GDDR7
Memory Type
GDDR7
448bit
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
2500 MHz
Memory Clock
1750 MHz
280.0GB/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.
896.0GB/s

Display and Media

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

Theoretical Performance

483.8 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.
293.1 GPixel/s
1613 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.
858.4 GTexel/s
103.2 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.
54.94 TFLOPS
1.613 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.
858.4 GFLOPS
101.136 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.
53.841 TFLOPS

Miscellaneous

160
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.
82
20480
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.
10496
128 KB (per SM)
L1 Cache
128 KB (per SM)
88 MB
L2 Cache
64 MB
500W
TDP
200W
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
9.1
CUDA
10.1
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 16-pin
192
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.
112
6.7
Shader Model
6.8
900 W
Suggested PSU
550 W

Benchmarks

FP32 (float) / TFLOPS
GeForce RTX 5090
101.136 +88%
RTX PRO 4500 Blackwell
53.841
Vulkan
GeForce RTX 5090
366095 +57%
RTX PRO 4500 Blackwell
233473
OpenCL
GeForce RTX 5090
368974 +55%
RTX PRO 4500 Blackwell
238735