Home / GPU Comparison / NVIDIA Tesla V100 SXM2 32 GB or NVIDIA CMP 170HX 8 GB: What's better?

NVIDIA Tesla V100 SXM2 32 GB

vs

NVIDIA CMP 170HX 8 GB

GPU Comparison Result

Below are the results of a comparison of NVIDIA Tesla V100 SXM2 32 GB and NVIDIA CMP 170HX 8 GB video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA Tesla V100 SXM2 32 GB

Higher Boost Clock: 1530MHz (1530MHz vs 1410 MHz)
Larger Memory Size: 32GB (32GB vs 8GB)
Higher Bandwidth: 897.0 GB/s (897.0 GB/s vs 1.49TB/s)
More Shading Units: 5120 (5120 vs 4480)

NVIDIA CMP 170HX 8 GB

Newer Launch Date: September 2021 (March 2018 vs September 2021)

Basic

NVIDIA

Label Name

NVIDIA

March 2018

Launch Date

September 2021

Professional

Platform

Desktop

Tesla V100 SXM2 32 GB

Model Name

CMP 170HX 8 GB

Tesla

Generation

Mining GPUs

1290MHz

Base Clock

1140 MHz

1530MHz

Boost Clock

1410 MHz

PCIe 3.0 x16

Bus Interface

PCIe 1.0 x4

21,100 million

Transistors

54.2 billion

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.

280

320

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.

280

TSMC

Foundry

TSMC

12 nm

Process Size

7 nm

Volta

Architecture

Ampere

Memory Specifications

32GB

Memory Size

8GB

HBM2

Memory Type

HBM2e

4096bit

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

876MHz

Memory Clock

1458 MHz

897.0 GB/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.

1.49TB/s

Display and Media

No outputs

Outputs

No outputs

Theoretical Performance

195.8 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.

180.5 GPixel/s

489.6 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.

394.8 GTexel/s

31.33 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.

50.53 TFLOPS

7.834 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.

6.317 TFLOPS

15.983 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.

12.504 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.

5120

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.

4480

128 KB (per SM)

L1 Cache

192 KB (per SM)

6MB

L2 Cache

8 MB

250W

TDP

250W

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.

3.0

OpenCL Version

3.0

4.6

OpenGL

7.0

CUDA

8.0

12 (12_1)

DirectX

None

Power Connectors

2x 8-pin

128

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

6.6

Shader Model

600W

Suggested PSU

600 W