NVIDIA Tesla M2050 vs AMD Radeon Instinct MI60

VS

NVIDIA Tesla M2050 AMD Radeon Instinct MI60

We compared two Professional market GPUs: 3GB VRAM Tesla M2050 and 32GB VRAM Radeon Instinct MI60 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M2050 's Advantages

Lower TDP (225W vs 300W)

AMD Radeon Instinct MI60 's Advantages

Released 7 years and 4 months late

Boost Clock1800MHz

More VRAM (32GB vs 3GB)

Larger VRAM bandwidth (1024GB/s vs 148.4GB/s)

3648 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M2050

1.03 TFLOPS

Radeon Instinct MI60 +1332%

14.75 TFLOPS

Tesla M2050

VS

Radeon Instinct MI60

Graphics Card

Jul 2011

Release Date

Nov 2018

Tesla

Generation

Radeon Instinct

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1200 MHz

-

Boost Clock

1800 MHz

773 MHz

Memory Clock

1000 MHz

Memory

3GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

148.4GB/s

Bandwidth

1024GB/s

Render Config

14

SM Count

-

Compute Units

64

448

Shading Units

4096

56

TMUs

256

48

ROPs

64

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per CU)

768 KB

L2 Cache

4 MB

Theoretical Performance

16.10 GPixel/s

Pixel Rate

115.2 GPixel/s

32.20 GTexel/s

Texture Rate

460.8 GTexel/s

-

FP16 (half)

29.49 TFLOPS

1030 GFLOPS

FP32 (float)

14.75 TFLOPS

515.2 GFLOPS

FP64 (double)

7.373 TFLOPS

Graphics Processor

GF100

GPU Name

Vega 20

-

GPU Variant

Vega 20 GL

Fermi

Architecture

GCN 5.1

TSMC

Foundry

TSMC

40 nm

Process Size

7 nm

3.1 billion

Transistors

13.23 billion

529 mm²

Die Size

331 mm²

Board Design

225W

TDP

300W

550 W

Suggested PSU

700 W

No outputs

Outputs

1x mini-DisplayPort 1.4a

1x 6-pin + 1x 8-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

1.1

OpenCL

2.1

N/A

Vulkan

1.2

2.0

CUDA

-

5.1

Shader Model

6.4

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