AMD Radeon Instinct MI60 vs NVIDIA Tesla M1060

VS

AMD Radeon Instinct MI60 NVIDIA Tesla M1060

We compared two Professional market GPUs: 32GB VRAM Radeon Instinct MI60 and 2GB VRAM Tesla M1060 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Instinct MI60 's Advantages

Released 10 years and 5 months late

Boost Clock1800MHz

More VRAM (32GB vs 2GB)

Larger VRAM bandwidth (1024GB/s vs 102.4GB/s)

3856 additional rendering cores

NVIDIA Tesla M1060 's Advantages

Lower TDP (188W vs 300W)

Score

Benchmark

FP32 (float)

Radeon Instinct MI60 +2271%

14.75 TFLOPS

Tesla M1060

0.622 TFLOPS

Radeon Instinct MI60

VS

Tesla M1060

Graphics Card

Nov 2018

Release Date

Jun 2008

Radeon Instinct

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1200 MHz

Base Clock

-

1800 MHz

Boost Clock

-

1000 MHz

Memory Clock

800 MHz

Memory

32GB

Memory Size

2GB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

512bit

1024GB/s

Bandwidth

102.4GB/s

Render Config

-

SM Count

30

64

Compute Units

-

4096

Shading Units

240

256

TMUs

80

64

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per CU)

L1 Cache

-

4 MB

L2 Cache

256 KB

Theoretical Performance

115.2 GPixel/s

Pixel Rate

19.52 GPixel/s

460.8 GTexel/s

Texture Rate

48.80 GTexel/s

29.49 TFLOPS

FP16 (half)

-

14.75 TFLOPS

FP32 (float)

622.1 GFLOPS

7.373 TFLOPS

FP64 (double)

77.76 GFLOPS

Graphics Processor

Vega 20

GPU Name

GT200B

Vega 20 GL

GPU Variant

-

GCN 5.1

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

7 nm

Process Size

55 nm

13.23 billion

Transistors

1.4 billion

331 mm²

Die Size

470 mm²

Board Design

300W

TDP

188W

700 W

Suggested PSU

450 W

1x mini-DisplayPort 1.4a

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (12_1)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

2.1

OpenCL

1.1

1.2

Vulkan

N/A

-

CUDA

1.3

6.4

Shader Model

4.0

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