NVIDIA Quadro M5000 vs NVIDIA Tesla PG503 216

VS

NVIDIA Quadro M5000

NVIDIA Tesla PG503 216

We compared two Professional market GPUs: 8GB VRAM Quadro M5000 and 32GB VRAM Tesla PG503 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M5000 's Advantages

Lower TDP (150W vs 250W)

NVIDIA Tesla PG503 216 's Advantages

Released 4 years and 5 months late

Boost Clock has increased by 47% (1530MHz vs 1038MHz)

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 211.6GB/s)

3072 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro M5000

4.252 TFLOPS

Tesla PG503 216 +268%

15.67 TFLOPS

Quadro M5000

VS

Tesla PG503 216

Graphics Card

Jun 2015

Release Date

Nov 2019

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

861 MHz

Base Clock

1312 MHz

1038 MHz

Boost Clock

1530 MHz

1653 MHz

Memory Clock

1106 MHz

Memory

8GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

211.6GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

2048

Shading Units

5120

128

TMUs

320

64

ROPs

128

-

Tensor Cores

640

-

48 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

6 MB

-

Theoretical Performance

66.43 GPixel/s

Pixel Rate

195.8 GPixel/s

132.9 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

4.252 TFLOPS

FP32 (float)

15.67 TFLOPS

132.9 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

150W

TDP

250W

450 W

Suggested PSU

600 W

1x DVI 4x DisplayPort 1.4a

Outputs

No outputs

1x 6-pin

Power Connectors

None

Graphics Processor

GM204

GPU Name

GV100

GM204-875-A1

GPU Variant

-

Maxwell 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

5.2 billion

Transistors

21.1 billion

398 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

7.0

6.4

Shader Model

6.6

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