NVIDIA RTX A5500 Mobile vs NVIDIA Tesla V100 FHHL

VS

NVIDIA RTX A5500 Mobile

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 16GB VRAM RTX A5500 Mobile and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A5500 Mobile 's Advantages

Released 4 years late

Boost Clock has increased by 16% (1500MHz vs 1290MHz)

2304 additional rendering cores

Lower TDP (165W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Larger VRAM bandwidth (829.4GB/s vs 512.0GB/s)

Score

Benchmark

FP32 (float)

RTX A5500 Mobile +68%

22.27 TFLOPS

Tesla V100 FHHL

13.21 TFLOPS

RTX A5500 Mobile

VS

Tesla V100 FHHL

Graphics Card

Mar 2022

Release Date

Mar 2018

Quadro Ampere-M

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

975 MHz

Base Clock

937 MHz

1500 MHz

Boost Clock

1290 MHz

2000 MHz

Memory Clock

810 MHz

Memory

16GB

Memory Size

16GB

GDDR6

Memory Type

HBM2

256bit

Memory Bus

4096bit

512.0GB/s

Bandwidth

829.4GB/s

Render Config

-

58

SM Count

80

7424

Shading Units

5120

232

TMUs

320

96

ROPs

128

232

Tensor Cores

640

58

RT Cores

-

128 KB (per SM)

L1 Cache

128 KB (per SM)

4 MB

L2 Cache

6 MB

-

Theoretical Performance

144.0 GPixel/s

Pixel Rate

165.1 GPixel/s

348.0 GTexel/s

Texture Rate

412.8 GTexel/s

22.27 TFLOPS

FP16 (half)

26.42 TFLOPS

22.27 TFLOPS

FP32 (float)

13.21 TFLOPS

348.0 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

165W

TDP

250W

-

Suggested PSU

600 W

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

GA103

GPU Name

GV100

-

Ampere

Architecture

Volta

Samsung

Foundry

TSMC

8 nm

Process Size

12 nm

22 billion

Transistors

21.1 billion

496 mm²

Die Size

815 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.6

CUDA

7.0

6.7

Shader Model

6.6

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