NVIDIA Tesla V100 PCIe 16 GB
vs
AMD Instinct MI50

vs

GPU Comparison Result

Below are the results of a comparison of NVIDIA Tesla V100 PCIe 16 GB and AMD Instinct MI50 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: 1746MHz (1380MHz vs 1746MHz)
  • Higher Bandwidth: 1024 GB/s (897.0 GB/s vs 1024 GB/s)
  • Newer Launch Date: November 2018 (June 2017 vs November 2018)

Basic

NVIDIA
Label Name
AMD
June 2017
Launch Date
November 2018
Professional
Platform
Professional
Tesla V100 PCIe 16 GB
Model Name
Radeon Instinct MI50
Tesla
Generation
Radeon Instinct
1245MHz
Base Clock
1200MHz
1380MHz
Boost Clock
1746MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
21,100 million
Transistors
-
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.
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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.
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TSMC
Foundry
-
12 nm
Process Size
-
Volta
Architecture
-

Memory Specifications

16GB
Memory Size
16GB
HBM2
Memory Type
HBM2
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
1000MHz
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.
1024 GB/s

Display and Media

No outputs
Outputs
-

Theoretical Performance

176.6 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.
111.7 GPixel/s
441.6 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.
419.0 GTexel/s
28.26 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.
26.82 TFLOPS
7.066 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.
6.705 TFLOPS
14.413 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.
13.142 TFLOPS

Miscellaneous

80
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.
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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.
3840
128 KB (per SM)
L1 Cache
16 KB (per CU)
6MB
L2 Cache
4MB
300W
TDP
300W
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.
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3.0
OpenCL Version
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4.6
OpenGL
-
7.0
CUDA
-
12 (12_1)
DirectX
-
2x 8-pin
Power Connectors
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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.
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6.6
Shader Model
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700W
Suggested PSU
-

Benchmarks

FP32 (float) / TFLOPS
Tesla V100 PCIe 16 GB
14.413 +10%
Instinct MI50
13.142