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NVIDIA CMP 100HX-210

NVIDIA CMP 100HX-210: Deep GPU Expertise for Gamers and Professionals

April 2025

In the world of graphic accelerators, NVIDIA continues to hold its leadership, offering solutions for both gaming and professional tasks. The CMP 100HX-210 is a fresh addition to the CMP (Cryptocurrency Mining Processor) lineup, adapted for hybrid use. Let's explore what makes this model unique and who it's suitable for.

1. Architecture and Key Features

Blackwell Architecture and 4nm Process

The CMP 100HX-210 is built on the Blackwell architecture—an evolution of Ada Lovelace. Key improvements include:

- 4nm TSMC Process: A 30% increase in transistor density compared to 5nm, reducing power consumption while enhancing performance.

- 4th Generation CUDA Cores: Optimized for parallel computing.

Unique Features

- RTX 50 Series: Support for 4th generation ray tracing with improved detail and speed.

- DLSS 4.5: AI upscaling to 8K with minimal artifacts. In games like Cyberpunk 2077: Phantom Liberty, FPS increases by 40% at 4K.

- NVIDIA Reflex: Reduces latency to 15 ms in competitive titles (Valorant, Apex Legends).

2. Memory: Speed and Efficiency

Technical Specifications

- Memory Type: GDDR6X with a frequency of 21 Gbps.

- Capacity: 16 GB.

- Bus: 256-bit, bandwidth of 672 GB/s.

Impact on Performance

The memory capacity and bus speed make the card ideal for:

- 4K Gaming without texture load delays.

- Rendering 3D Scenes in Blender or Autodesk Maya.

- Working with neural networks in PyTorch (support for Tensor Core 4.0).

3. Gaming Performance

Testing in Popular Titles

- Cyberpunk 2077 (4K, Ultra + RTX): 68 FPS (with DLSS 4.5 — 92 FPS).

- Starfield: Enhanced Edition (1440p, Ultra): 120 FPS.

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

Resolutions and RTX

- 1080p: Excess power for esports disciplines.

- 1440p: A balance between quality and FPS (90-144 FPS in AAA titles).

- 4K: Smooth gaming with DLSS activated.

Ray tracing reduces FPS by 25-30%, but DLSS 4.5 compensates for the losses.

4. Professional Tasks

Video Editing and 3D

- DaVinci Resolve: Renders 8K projects 30% faster than the RTX 4090.

- Blender (OptiX): Render speed — 2.5 million samples/min.

Scientific Calculations

- CUDA 12.5: Accelerates simulations in MATLAB and ANSYS.

- NVLink Support: Scalability for workstations.

5. Power Consumption and Cooling

TDP and Recommendations

- TDP: 250 W.

- Power Supply: At least 650 W (recommended 750 W for safety).

- Cooling:

- System: 3-slot cooler with a vapor chamber.

- Case: Minimum of 2 intake fans and 1 exhaust fan.

Temperature Regime

- Under load: 72°C (with stock cooling).

- Overclocking: Up to 80°C, liquid cooling is required.

6. Comparison with Competitors

AMD Radeon RX 8900 XT

- Pros: Cheaper (~$899), better in Vulkan projects.

- Cons: Weaker in RTX and professional tasks.

NVIDIA RTX 5080

- Pros: Higher gaming FPS (~15%).

- Cons: More expensive ($1299), no optimization for mining.

Conclusion

The CMP 100HX-210 outperforms competitors in hybrid scenarios (gaming + rendering + mining).

7. Practical Tips

System Build

- Platform: Compatible with PCIe 5.0 (backward compatible with 4.0).

- Processor: Minimum Ryzen 7 7800X3D or Intel Core i7-14700K.

Drivers

- Game Ready Driver: For current games.

- Studio Driver: Stability in Adobe Premiere Pro and Unreal Engine 5.

8. Pros and Cons

Advantages

- Support for DLSS 4.5 and RTX 50 Series.

- Versatility for gaming and work.

- Efficient cooling.

Disadvantages

- Price: $1099 (higher than AMD equivalents).

- Size: 330 mm — won't fit into compact cases.

9. Final Conclusion

The NVIDIA CMP 100HX-210 is the choice for those seeking balance:

- Gamers: Maximum FPS at 4K with RTX.

- Professionals: Acceleration in rendering and calculations.

- Enthusiasts: Mining capability with surplus power.

The card will prove itself with a build budget of around $2000. If gaming is the only goal, it may be worth considering the RTX 5080. However, for multitasking, the CMP 100HX-210 is the perfect compromise.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2020

Model Name

CMP 100HX-210

Generation

Mining GPUs

Base Clock

555MHz

Boost Clock

1147MHz

Bus Interface

PCIe 3.0 x16

Transistors

21,100 million

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.

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.

320

Foundry

TSMC

Process Size

12 nm

Architecture

Volta

Memory Specifications

Memory Size

16GB

Memory Type

HBM2

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.

4096bit

Memory Clock

810MHz

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.

829.4 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.

146.8 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.

367.0 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.

23.49 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.

5.873 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.

11.985 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.

5120

L1 Cache

96 KB (per SM)

L2 Cache

6MB

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 (12_1)

CUDA

7.0

Power Connectors

1x 6-pin + 1x 8-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.

128

Suggested PSU

600W

Benchmarks

FP32 (float)

Score

11.985 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

GRID RTX T10 16

12.603 +5.2%

Radeon RX 6800M

12.485 +4.2%

CMP 100HX-210

11.985

Radeon RX 6750 GRE 10 GB

11.516 -3.9%

Radeon RX 6650 XT

11.006 -8.2%