NVIDIA Quadro RTX 6000 Mobile vs NVIDIA GRID A100A

VS

NVIDIA Quadro RTX 6000 Mobile

NVIDIA GRID A100A

We compared two Professional market GPUs: 24GB VRAM Quadro RTX 6000 Mobile and 48GB VRAM GRID A100A to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 6000 Mobile 's Advantages

Boost Clock has increased by 45% (1455MHz vs 1005MHz)

NVIDIA GRID A100A 's Advantages

Released 8 months late

More VRAM (48GB vs 24GB)

Larger VRAM bandwidth (1866GB/s vs 672.0GB/s)

2304 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro RTX 6000 Mobile

13.41 TFLOPS

GRID A100A +3%

13.89 TFLOPS

Quadro RTX 6000 Mobile

VS

GRID A100A

Graphics Card

Sep 2019

Release Date

May 2020

Quadro Turing-M

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

1275 MHz

Base Clock

900 MHz

1455 MHz

Boost Clock

1005 MHz

1750 MHz

Memory Clock

1215 MHz

Memory

24GB

Memory Size

48GB

GDDR6

Memory Type

HBM2e

384bit

Memory Bus

6144bit

672.0GB/s

Bandwidth

1866GB/s

Render Config

-

72

SM Count

108

4608

Shading Units

6912

288

TMUs

432

96

ROPs

192

576

Tensor Cores

432

72

RT Cores

-

64 KB (per SM)

L1 Cache

192 KB (per SM)

6 MB

L2 Cache

48 MB

-

Theoretical Performance

139.7 GPixel/s

Pixel Rate

193.0 GPixel/s

419.0 GTexel/s

Texture Rate

434.2 GTexel/s

26.82 TFLOPS

FP16 (half)

55.57 TFLOPS

13.41 TFLOPS

FP32 (float)

13.89 TFLOPS

419.0 GFLOPS

FP64 (double)

6.947 TFLOPS

Board Design

Unknown

TDP

400W

-

Suggested PSU

800 W

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

TU102

GPU Name

GA100

-

Turing

Architecture

Ampere

TSMC

Foundry

TSMC

12 nm

Process Size

7 nm

18.6 billion

Transistors

54.2 billion

754 mm²

Die Size

826 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

N/A

4.6

OpenGL

N/A

3.0

OpenCL

3.0

1.3

Vulkan

N/A

7.5

CUDA

8.0

6.7

Shader Model

N/A

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