NVIDIA Tesla M60 vs NVIDIA Tesla V100 FHHL

VS

We compared two Professional market GPUs: 8GB VRAM Tesla M60 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 V100 FHHL 's Advantages

Released 2 years and 7 months late

Boost Clock has increased by 10% (1290MHz vs 1178MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (829.4GB/s vs 160.4GB/s)

3072 additional rendering cores

Lower TDP (250W vs 300W)

Score

Benchmark

FP32 (float)

Tesla M60

4.825 TFLOPS

Tesla V100 FHHL +173%

13.21 TFLOPS

Tesla M60

VS

Tesla V100 FHHL

Graphics Card

Aug 2015

Release Date

Mar 2018

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

557 MHz

Base Clock

937 MHz

1178 MHz

Boost Clock

1290 MHz

1253 MHz

Memory Clock

810 MHz

Memory

8GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.4GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

-

Compute Units

-

2048

Shading Units

5120

128

TMUs

320

64

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

48 KB (per SMM)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

6 MB

Theoretical Performance

75.39 GPixel/s

Pixel Rate

165.1 GPixel/s

150.8 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

4.825 TFLOPS

FP32 (float)

13.21 TFLOPS

150.8 GFLOPS

FP64 (double)

6.605 TFLOPS

Graphics Processor

GM204

GPU Name

GV100

-

GPU Variant

-

Maxwell 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

5.2 billion

Transistors

21.1 billion

398 mm²

Die Size

815 mm²

Board Design

300W

TDP

250W

700 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

1x 8-pin

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

6.4

Shader Model

6.6

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