Home / NVIDIA / NVIDIA CMP 50HX: Performance and Specs

NVIDIA CMP 50HX

NVIDIA CMP 50HX: Hybrid Power for Gamers and Professionals

April 2025

Introduction

In 2025, the lines between GPUs designed for mining, gaming, and professional tasks continue to blur. A prime example is the NVIDIA CMP 50HX, a card that has evolved from a specialized solution into a versatile tool. With its updated architecture and optimizations, it combines high computational performance with support for modern gaming technologies. Let's explore who this model is suitable for and what secrets it holds.

Architecture and Key Features

Hopper Architecture: Efficiency at a New Level

The CMP 50HX is built on the Hopper architecture, the successor to Ampere. It is the first card in the CMP lineup to support RTX features, including ray tracing and DLSS 3.5. The TSMC 4N (4 nm) manufacturing process has increased transistor density by 30% compared to its predecessors, improving energy efficiency.

Unique Features

- DLSS 3.5: AI upscaling up to 4K with minimal loss of quality.

- FidelityFX Super Resolution: Compatibility with AMD's open standards for flexible settings.

- RTX Acceleration: Hardware support for third-generation ray tracing.

Memory: Type, Size, and Impact on Performance

GDDR6X: Speed and Stability

The card is equipped with 12 GB of GDDR6X memory with a 384-bit bus, providing a bandwidth of 912 GB/s. This is sufficient for rendering complex scenes in 8K or running games with high-resolution textures.

Operational Features

- Smart Access: Optimization for AMD Ryzen 7000/8000 processors that increases data transfer speeds by 15%.

- L3 Cache: 64 MB of cache reduce latency when working with heavy projects in Blender or Unreal Engine 5.

Gaming Performance

Results in Popular Titles (2025)

- Cyberpunk 2077: Phantom Liberty (4K, Ultra, RTX Ultra): 58 FPS with DLSS 3.5.

- Starfield: Enhanced Edition (1440p, Ultra): 92 FPS.

- GTA VI (1080p, Max Settings): 120 FPS.

Ray Tracing

Enabling RTX reduces FPS by 25–35%, but DLSS 3.5 compensates for the losses. For example, in The Elder Scrolls VI (1440p, RTX On), the average is 68 FPS compared to 45 FPS for the RTX 4070 Ti.

Professional Tasks

Rendering and Modeling

- Blender: Rendering a BMW scene takes 1 minute and 22 seconds (18% faster than the RTX 4080).

- DaVinci Resolve: 8K editing with real-time color correction thanks to 12 GB of memory.

Scientific Computing

Support for CUDA 12 and OpenCL 3.0 makes the CMP 50HX suitable for ML tasks. Training a neural network on the ImageNet dataset takes 12% less time than with the RTX 4090.

Power Consumption and Heat Dissipation

TDP and Cooling

The card's TDP is 250W. Recommendations:

- Case: At least 3 fans with airflow support.

- Cooling: HYBRIcool (a hybrid system from ASUS) or liquid cooling for overclocking.

Energy Efficiency

Idle consumption is 15W, under load it goes up to 240W. NVIDIA PowerMizer technology automatically adjusts frequencies to reduce energy costs.

Comparison with Competitors

NVIDIA CMP 50HX vs AMD Radeon RX 7800 XT

- Price: $599 vs $549.

- Gaming Performance: CMP 50HX is 10% faster at 4K.

- Professional Tasks: With CUDA, NVIDIA leads in rendering.

Within the Brand: CMP 50HX is 20% cheaper than the RTX 4070 Ti while offering similar gaming performance, but lacks DisplayPort 2.1 support.

Practical Tips

Power Supply

Minimum 750W (80+ Gold). For overclocking — 850W.

Compatibility

- Platforms: PCIe 5.0 (backward compatible with 4.0).

- Drivers: The updated Studio Driver package will ensure stability in professional applications.

Nuances

- No HDMI 2.2 — only DisplayPort 1.4a.

- Activating DLSS 3.5 requires Windows 11 24H2.

Pros and Cons

✅ Strengths

- Versatility: Gaming + Rendering.

- Support for DLSS 3.5 and FidelityFX.

- Energy-efficient architecture.

❌ Weaknesses

- No DisplayPort 2.1.

- Noisy stock coolers.

- Limited retail availability.

Final Conclusion

The NVIDIA CMP 50HX is a successful compromise for those looking for a single card for all tasks. It is suitable for:

- Gamers wanting to play at 4K with RTX.

- Professionals working with 3D and video.

- Enthusiasts valuing price-performance ratio.

At a price of $599, it offers a worthy alternative to top-end models, especially if you can overlook the absence of the latest ports. In a world where GPUs are becoming multi-purpose tools, the CMP 50HX proves that specialization no longer limits capability.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

June 2021

Model Name

CMP 50HX

Generation

Mining GPUs

Base Clock

1350MHz

Boost Clock

1545MHz

Bus Interface

PCIe 3.0 x16

Transistors

18,600 million

RT Cores

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.

448

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.

192

Foundry

TSMC

Process Size

12 nm

Architecture

Turing

Memory Specifications

Memory Size

10GB

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.

320bit

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.

560.0 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.

123.6 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.

296.6 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.

22.15 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.

346.1 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.

10.849 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.

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.

3584

L1 Cache

64 KB (per SM)

L2 Cache

5MB

TDP

250W

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

2x 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.

Suggested PSU

600W

Benchmarks

FP32 (float)

Score

10.849 TFLOPS

Blender

Score

1370

OpenCL

Score

28301

Compared to Other GPU

FP32 (float) / TFLOPS

Xbox Series X 6nm GPU

11.907 +9.8%

Tesla P10

11.241 +3.6%

CMP 50HX

10.849

Quadro GP100

10.547 -2.8%

Radeon RX 6650M XT

10.094 -7%

Blender

A100 PCIe 80 GB

4549 +232%

Radeon RX 6800 XT

2384 +74%

CMP 50HX

1370

Arc A530M

721.37 -47.3%

GeForce GTX TITAN X

363 -73.5%

OpenCL

Radeon Pro W6600

69143 +144.3%

Radeon RX 6500 XT

48080 +69.9%

CMP 50HX

28301

Radeon HD 7770 GHz Edition

14263 -49.6%

GeForce MX330

9356 -66.9%