Home / GPU Comparison / NVIDIA A2 or NVIDIA Tesla T4: What's better?

NVIDIA A2
vs
NVIDIA Tesla T4

NVIDIA A2
vs
NVIDIA Tesla T4

GPU Comparison Result

Below are the results of a comparison of NVIDIA A2 and NVIDIA Tesla T4 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA A2
NVIDIA A2
NVIDIA A2
  • Higher Boost Clock: 1770MHz (1770MHz vs 1590MHz)
  • Newer Launch Date: November 2021 (November 2021 vs September 2018)
NVIDIA Tesla T4
NVIDIA Tesla T4
NVIDIA Tesla T4
  • Higher Bandwidth: 320.0 GB/s (200.1 GB/s vs 320.0 GB/s)
  • More Shading Units: 2560 (1280 vs 2560)

Basic

NVIDIA
Label Name
NVIDIA
November 2021
Launch Date
September 2018
Desktop
Platform
Professional
A2
Model Name
Tesla T4
Quadro
Generation
Tesla
1440MHz
Base Clock
585MHz
1770MHz
Boost Clock
1590MHz
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16
Unknown
Transistors
13,600 million
10
RT Cores
40
40
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.
320
40
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.
160
Samsung
Foundry
TSMC
8 nm
Process Size
12 nm
Ampere
Architecture
Turing

Memory Specifications

16GB
Memory Size
16GB
GDDR6
Memory Type
GDDR6
128bit
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
1563MHz
Memory Clock
1250MHz
200.1 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.
320.0 GB/s

Display and Media

No outputs
Outputs
No outputs

Theoretical Performance

56.64 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.
101.8 GPixel/s
70.80 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.
254.4 GTexel/s
4.531 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.
65.13 TFLOPS
70.80 GFLOPS
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.
254.4 GFLOPS
4.622 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.
8.304 TFLOPS

Miscellaneous

10
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.
40
1280
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.
2560
128 KB (per SM)
L1 Cache
64 KB (per SM)
2MB
L2 Cache
4MB
60W
TDP
70W
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.
1.3
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
8.6
CUDA
7.5
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
None
32
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.
64
6.6
Shader Model
6.6
250W
Suggested PSU
250W

Benchmarks

FP32 (float) / TFLOPS
A2
4.622
Tesla T4
8.304 +80%
Blender
A2
883.68
Tesla T4
1693 +92%
OpenCL
A2
35144
Tesla T4
61276 +74%

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