NVIDIA Quadro K610M vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Quadro K610M NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 1024MB VRAM Quadro K610M 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 K610M 's Advantages

Lower TDP (30W vs 250W)

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 6 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 1GB)

Larger VRAM bandwidth (1133GB/s vs 20.80GB/s)

4928 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K610M

0.376 TFLOPS

Tesla V100 SXM2 16 GB +4248%

16.35 TFLOPS

Quadro K610M

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

650 MHz

Memory Clock

1106 MHz

Memory

1024MB

Memory Size

16GB

GDDR5

Memory Type

HBM2

64bit

Memory Bus

4096bit

20.80GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

-

Compute Units

-

192

Shading Units

5120

16

TMUs

320

8

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

Theoretical Performance

3.920 GPixel/s

Pixel Rate

204.4 GPixel/s

15.68 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

376.3 GFLOPS

FP32 (float)

16.35 TFLOPS

15.68 GFLOPS

FP64 (double)

8.177 TFLOPS

Graphics Processor

GK208

GPU Name

GV100

N15M-Q2-B-A1

GPU Variant

-

Kepler 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.02 billion

Transistors

21.1 billion

87 mm²

Die Size

815 mm²

Board Design

30W

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

3.5

CUDA

7.0

5.1

Shader Model

6.6

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