NVIDIA Tesla PG500 216 vs NVIDIA GRID M10 8Q

VS

NVIDIA Tesla PG500 216

NVIDIA GRID M10 8Q

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 and 8GB VRAM GRID M10 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla PG500 216 's Advantages

Released 3 years and 6 months late

Boost Clock has increased by 6% (1380MHz vs 1306MHz)

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 83.20GB/s)

4480 additional rendering cores

NVIDIA GRID M10 8Q 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +745%

14.13 TFLOPS

GRID M10 8Q

1.672 TFLOPS

Tesla PG500 216

VS

GRID M10 8Q

Graphics Card

Nov 2019

Release Date

May 2016

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1260 MHz

Base Clock

1033 MHz

1380 MHz

Boost Clock

1306 MHz

1106 MHz

Memory Clock

1300 MHz

Memory

32GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

83.20GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

640

320

TMUs

40

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

176.6 GPixel/s

Pixel Rate

20.90 GPixel/s

441.6 GTexel/s

Texture Rate

52.24 GTexel/s

28.26 TFLOPS

FP16 (half)

-

14.13 TFLOPS

FP32 (float)

1.672 TFLOPS

7.066 TFLOPS

FP64 (double)

52.24 GFLOPS

Board Design

250W

TDP

225W

600 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

GV100

GPU Name

GM107

-

GPU Variant

GM107-570-A2

Volta

Architecture

Maxwell

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.87 billion

815 mm²

Die Size

148 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

5.0

6.6

Shader Model

5.1

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