NVIDIA CMP 30HX
About GPU
The NVIDIA CMP 30HX GPU is a powerful graphics processing unit designed specifically for cryptocurrency mining. Boasting a base clock of 1530MHz and a boost clock of 1785MHz, this GPU offers impressive performance that is essential for efficient mining operations.
With a memory size of 6GB and memory type of GDDR6, the CMP 30HX delivers high-speed and reliable memory performance. The 1750MHz memory clock ensures smooth and uninterrupted data transfer, while the 1408 shading units and 1536KB L2 cache contribute to the GPU's overall processing power.
One of the standout features of the NVIDIA CMP 30HX is its energy efficiency. With a thermal design power (TDP) of 125W, this GPU is able to deliver exceptional performance while maintaining a relatively low power consumption, making it a cost-effective choice for cryptocurrency miners.
In terms of performance, the CMP 30HX is capable of achieving a theoretical performance of 5.027 TFLOPS, making it a formidable contender in the world of cryptocurrency mining. Whether you're mining Ethereum, Bitcoin, or other cryptocurrencies, this GPU is well-equipped to handle the complex calculations and data processing required for successful mining operations.
Overall, the NVIDIA CMP 30HX GPU is a solid choice for cryptocurrency miners looking for a reliable, high-performance graphics card. With its impressive specifications and energy-efficient design, this GPU offers excellent value for those seeking to maximize their mining capabilities.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
February 2021
Model Name
CMP 30HX
Generation
Mining GPUs
Base Clock
1530MHz
Boost Clock
1785MHz
Bus Interface
PCIe 3.0 x4
Memory Specifications
Memory Size
6GB
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.
192bit
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.
336.0 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.
85.68 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.
157.1 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.
10.05 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.
157.1 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.
5.128
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.
22
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.
1408
L1 Cache
64 KB (per SM)
L2 Cache
1536KB
TDP
125W
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
Benchmarks
FP32 (float)
Score
5.128
TFLOPS
OpenCL
Score
57474
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL