NVIDIA Quadro K2100M vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Quadro K2100M NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 2GB VRAM Quadro K2100M and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2100M 's Advantages

Lower TDP (55W vs 250W)

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 6 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 2GB)

Larger VRAM bandwidth (1133GB/s vs 48.13GB/s)

4544 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K2100M

0.768 TFLOPS

Tesla V100 SXM2 16 GB +2028%

16.35 TFLOPS

Quadro K2100M

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jul 2013

Release Date

Nov 2019

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

752 MHz

Memory Clock

1106 MHz

Memory

2GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

48.13GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

-

Compute Units

-

576

Shading Units

5120

48

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

Theoretical Performance

8.004 GPixel/s

Pixel Rate

204.4 GPixel/s

32.02 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

768.4 GFLOPS

FP32 (float)

16.35 TFLOPS

32.02 GFLOPS

FP64 (double)

8.177 TFLOPS

Graphics Processor

GK106

GPU Name

GV100

N15P-Q3-A1

GPU Variant

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

2.54 billion

Transistors

21.1 billion

221 mm²

Die Size

815 mm²

Board Design

55W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.0

CUDA

7.0

5.1

Shader Model

6.6

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