NVIDIA Tesla PG500 216 vs NVIDIA GRID M6 8Q

VS

NVIDIA Tesla PG500 216

NVIDIA GRID M6 8Q

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 and 8GB VRAM GRID M6 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 4 years and 3 months late

Boost Clock1380MHz

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 160.4GB/s)

3584 additional rendering cores

NVIDIA GRID M6 8Q 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +537%

14.13 TFLOPS

GRID M6 8Q

2.218 TFLOPS

Tesla PG500 216

VS

GRID M6 8Q

Graphics Card

Nov 2019

Release Date

Aug 2015

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1260 MHz

Base Clock

-

1380 MHz

Boost Clock

-

1106 MHz

Memory Clock

1253 MHz

Memory

32GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

160.4GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1536

320

TMUs

96

128

ROPs

64

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

176.6 GPixel/s

Pixel Rate

46.21 GPixel/s

441.6 GTexel/s

Texture Rate

69.31 GTexel/s

28.26 TFLOPS

FP16 (half)

-

14.13 TFLOPS

FP32 (float)

2.218 TFLOPS

7.066 TFLOPS

FP64 (double)

69.31 GFLOPS

Board Design

250W

TDP

100W

600 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GM204

-

GPU Variant

GM204-995-A1

Volta

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

5.2 billion

815 mm²

Die Size

398 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

7.0

CUDA

5.2

6.6

Shader Model

6.4

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