NVIDIA Tesla K40m vs NVIDIA Tesla PG500 216

VS

NVIDIA Tesla K40m

NVIDIA Tesla PG500 216

We compared two Professional market GPUs: 12GB VRAM Tesla K40m and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40m 's Advantages

Lower TDP (245W vs 250W)

NVIDIA Tesla PG500 216 's Advantages

Released 6 years late

Boost Clock has increased by 58% (1380MHz vs 876MHz)

More VRAM (32GB vs 12GB)

Larger VRAM bandwidth (1133GB/s vs 288.4GB/s)

2240 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K40m

5.046 TFLOPS

Tesla PG500 216 +180%

14.13 TFLOPS

Tesla K40m

VS

Tesla PG500 216

Graphics Card

Nov 2013

Release Date

Nov 2019

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

745 MHz

Base Clock

1260 MHz

876 MHz

Boost Clock

1380 MHz

1502 MHz

Memory Clock

1106 MHz

Memory

12GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

288.4GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

2880

Shading Units

5120

240

TMUs

320

48

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

1536 KB

L2 Cache

6 MB

-

Theoretical Performance

52.56 GPixel/s

Pixel Rate

176.6 GPixel/s

210.2 GTexel/s

Texture Rate

441.6 GTexel/s

-

FP16 (half)

28.26 TFLOPS

5.046 TFLOPS

FP32 (float)

14.13 TFLOPS

1.682 TFLOPS

FP64 (double)

7.066 TFLOPS

Board Design

245W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK110B

GPU Name

GV100

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

21.1 billion

561 mm²

Die Size

815 mm²

Graphics Features

12 (11_1)

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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