NVIDIA Tesla M40 24 GB vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Tesla M40 24 GB

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 24GB VRAM Tesla M40 24 GB and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M40 24 GB 's Advantages

More VRAM (24GB vs 16GB)

NVIDIA Tesla V100 FHHL 's Advantages

Released 2 years and 4 months late

Boost Clock has increased by 16% (1290MHz vs 1112MHz)

Larger VRAM bandwidth (829.4GB/s vs 288.4GB/s)

2048 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M40 24 GB

6.832 TFLOPS

Tesla V100 FHHL +93%

13.21 TFLOPS

Tesla M40 24 GB

VS

Tesla V100 FHHL

Graphics Card

Nov 2015

Release Date

Mar 2018

Tesla Maxwell

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

948 MHz

Base Clock

937 MHz

1112 MHz

Boost Clock

1290 MHz

1502 MHz

Memory Clock

810 MHz

Memory

24GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

288.4GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

3072

Shading Units

5120

192

TMUs

320

96

ROPs

128

-

Tensor Cores

640

-

48 KB (per SMM)

L1 Cache

128 KB (per SM)

3 MB

L2 Cache

6 MB

-

Theoretical Performance

106.8 GPixel/s

Pixel Rate

165.1 GPixel/s

213.5 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

6.832 TFLOPS

FP32 (float)

13.21 TFLOPS

213.5 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

1x 8-pin

Graphics Processor

GM200

GPU Name

GV100

GM200-895-A1

GPU Variant

-

Maxwell 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

8 billion

Transistors

21.1 billion

601 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

7.0

6.7

Shader Model

6.6

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