NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro 1000M

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro 1000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 2GB VRAM Quadro 1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 8 years and 10 months late

Boost Clock1597MHz

More VRAM (16GB 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 V100 SXM2 16 GB +5978%

16.35 TFLOPS

Quadro 1000M

0.269 TFLOPS

Tesla V100 SXM2 16 GB

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

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

900 MHz

Memory

16GB

Memory Size

2GB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

28.80GB/s

Render Config

-

80

SM Count

4

5120

Shading Units

96

320

TMUs

16

128

ROPs

4

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

256 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

5.600 GPixel/s

511.0 GTexel/s

Texture Rate

11.20 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

268.8 GFLOPS

8.177 TFLOPS

FP64 (double)

22.40 GFLOPS

Board Design

250W

TDP

45W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

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

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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