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NVIDIA CMP 70HX

NVIDIA CMP 70HX: Power for Gamers and Professionals

Review of the 2025 Graphics Card

Introduction

In April 2025, NVIDIA continues to impress the market by releasing specialized solutions for mining and computation. However, the CMP 70HX model stands out among them, becoming an unexpected hit with gamers and professionals due to its balance of performance and affordability. In this article, we will explore what makes this card unique and who it is suitable for.

Architecture and Key Features

Ada Lovelace: The Foundation of Efficiency

The CMP 70HX is built on the Ada Lovelace 2.0 architecture—an optimized version designed for tasks with high parallel loads. The card is manufactured using a 4nm TSMC process, which ensures increased transistor density and energy efficiency.

Unique Features

- RTX with Hybrid Ray Tracing: 30% acceleration in RT cores compared to the previous generation.

- DLSS 4.0: Artificial intelligence enhances detail and maintains stable FPS even at 8K.

- Support for FidelityFX Super Resolution 3.0: Compatibility with open AMD standards for flexibility in gaming.

Memory: Speed and Capacity

GDDR6X: Higher Speed, Lower Latencies

The CMP 70HX comes equipped with 16 GB of GDDR6X memory on a 320-bit bus, providing a bandwidth of 768 GB/s. For comparison, the competitor AMD Radeon RX 7800 XT offers 512 GB/s.

Impact on Performance

Such capacity and speed of memory allow for:

- Loading 8K textures without FPS drops.

- Working with heavy 3D scenes in Blender or Unreal Engine 5.

- Supporting multitasking (streaming + gaming + browsing).

Gaming Performance

FPS in Popular Titles (2024–2025)

- Cyberpunk 2077: Phantom Liberty (4K, Ultra + RT Ultra): 68–72 FPS with DLSS 4.0.

- Starfield: The Outer Worlds (1440p, Ultra): 120 FPS.

- Call of Duty: Black Ops V (1080p, Competitive settings): 240 FPS.

Ray Tracing: The Cost of Realism

Activating RT reduces FPS by 25–40%, but DLSS 4.0 compensates for losses up to 80%. For example, in Alan Wake 3 (1440p, RT High), the card achieves a stable 55 FPS without DLSS and 85 FPS with it.

Professional Tasks

Video Editing and 3D Rendering

- Adobe Premiere Pro: 8K video rendering in 12 minutes (compared to 18 minutes with RTX 4080).

- Blender Cycles: CUDA cores accelerate rendering by 20% courtesy of 10,240 cores.

Scientific Calculations

Support for CUDA 5.0 and OpenCL 3.5 makes the card suitable for ML experiments and simulations in MATLAB.

Power Consumption and Heat Dissipation

TDP and Cooling

- TDP 280 W: Requires a minimum 750 W power supply (850 W recommended for a margin).

- Dual-slot cooler with vapor chamber: Operating temperature under load is 72–75°C with noise at 34 dB.

Case Recommendations

- A minimum of 3 fans (2 for intake, 1 for exhaust).

- Best cases: Lian Li Lancool III or Fractal Design Meshify 2.

Comparison with Competitors

NVIDIA RTX 4070 Ti Super

- Pros of CMP 70HX: +15% rendering performance, +10% memory.

- Cons: Lacks DisplayPort 2.2 (only supports 2.1).

AMD Radeon RX 7800 XT

- RX 7800 XT is cheaper ($699 vs. $849), but weaker in RT and professional tasks.

Practical Tips

Power Supply and Compatibility

- Don't skimp on the PSU: Corsair RM850x or Seasonic Prime GX-850.

- Platform: PCIe 5.0 x16, compatible with motherboards using AMD X670 and Intel Z790 chipsets.

Drivers and Optimization

- Use Studio Drivers for working in Adobe applications.

- In games, enable DLSS 4.0 in the graphics settings.

Pros and Cons

Strengths

- Exceptional 4K and RT performance.

- Versatility (gaming + professional tasks).

- Effective cooling.

Weaknesses

- Price of $849 (15% higher than RX 7800 XT).

- High power consumption.

Final Conclusion: Who Should Consider the CMP 70HX?

This graphics card is the choice for those who don't want to compromise:

- Gamers eager for 4K with ray tracing.

- Video editors and 3D designers who value rendering speed.

- Enthusiasts with a budget up to $1000.

If you are looking for a balance between gaming and professional workloads, the CMP 70HX will be a reliable companion for the next 3-4 years.

Prices and specifications are current as of April 2025. Check for driver updates and promotions from retailers before purchase.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2021

Model Name

CMP 70HX

Generation

Mining GPUs

Base Clock

1365MHz

Boost Clock

1395MHz

Bus Interface

PCIe 4.0 x16

Transistors

17,400 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.

192

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

Samsung

Process Size

8 nm

Architecture

Ampere

Memory Specifications

Memory Size

8GB

Memory Type

GDDR6X

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

Memory Clock

1188MHz

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.

608.3 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.

133.9 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.

267.8 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.

17.14 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.

267.8 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.

16.797 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.

6144

L1 Cache

128 KB (per SM)

L2 Cache

4MB

TDP

Unknown

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

8.6

Power Connectors

1x 12-pin

Shader Model

6.7

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

200W

Benchmarks

FP32 (float)

Score

16.797 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

A100 PCIe

19.1 +13.7%

GeForce RTX 3080 Mobile 16 GB

18.6 +10.7%

CMP 70HX

16.797

Quadro RTX 6000

15.984 -4.8%

GeForce RTX 3070 Mobile

15.651 -6.8%