NVIDIA Tesla PG500 216 vs NVIDIA Quadro 1000M

VS

NVIDIA Tesla PG500 216 NVIDIA Quadro 1000M

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 and 2GB VRAM Quadro 1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla PG500 216 's Advantages

Released 8 years and 10 months late

Boost Clock1380MHz

More VRAM (32GB vs 2GB)

Larger VRAM bandwidth (1133GB/s vs 28.80GB/s)

5024 additional rendering cores

NVIDIA Quadro 1000M 's Advantages

Lower TDP (45W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +5152%

14.13 TFLOPS

Quadro 1000M

0.269 TFLOPS

Tesla PG500 216

VS

Quadro 1000M

Graphics Card

Nov 2019

Release Date

Jan 2011

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

1260 MHz

Base Clock

-

1380 MHz

Boost Clock

-

1106 MHz

Memory Clock

900 MHz

Memory

32GB

Memory Size

2GB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

28.80GB/s

Render Config

80

SM Count

4

-

Compute Units

-

5120

Shading Units

96

320

TMUs

16

128

ROPs

4

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

256 KB

Theoretical Performance

176.6 GPixel/s

Pixel Rate

5.600 GPixel/s

441.6 GTexel/s

Texture Rate

11.20 GTexel/s

28.26 TFLOPS

FP16 (half)

-

14.13 TFLOPS

FP32 (float)

268.8 GFLOPS

7.066 TFLOPS

FP64 (double)

22.40 GFLOPS

Graphics Processor

GV100

GPU Name

GF108

-

GPU Variant

N12P-Q1

Volta

Architecture

Fermi

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

0.585 billion

815 mm²

Die Size

116 mm²

Board Design

250W

TDP

45W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.1

6.6

Shader Model

5.1

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