NVIDIA Quadro K2000D vs AMD Radeon Instinct MI25

VS

NVIDIA Quadro K2000D

AMD Radeon Instinct MI25

We compared two Professional market GPUs: 2GB VRAM Quadro K2000D and 16GB VRAM Radeon Instinct MI25 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2000D 's Advantages

Lower TDP (51W vs 300W)

AMD Radeon Instinct MI25 's Advantages

Released 4 years and 3 months late

Boost Clock1500MHz

More VRAM (16GB vs 2GB)

Larger VRAM bandwidth (436.2GB/s vs 64.00GB/s)

3712 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K2000D

0.733 TFLOPS

Radeon Instinct MI25 +1576%

12.29 TFLOPS

Quadro K2000D

VS

Radeon Instinct MI25

Graphics Card

Mar 2013

Release Date

Jun 2017

Quadro

Generation

Radeon Instinct

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1400 MHz

-

Boost Clock

1500 MHz

1000 MHz

Memory Clock

852 MHz

Memory

2GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

2048bit

64.00GB/s

Bandwidth

436.2GB/s

Render Config

-

Compute Units

64

-

384

Shading Units

4096

32

TMUs

256

16

ROPs

64

-

16 KB (per SMX)

L1 Cache

16 KB (per CU)

256 KB

L2 Cache

4 MB

-

Theoretical Performance

7.632 GPixel/s

Pixel Rate

96.00 GPixel/s

30.53 GTexel/s

Texture Rate

384.0 GTexel/s

-

FP16 (half)

24.58 TFLOPS

732.7 GFLOPS

FP32 (float)

12.29 TFLOPS

30.53 GFLOPS

FP64 (double)

768.0 GFLOPS

Board Design

51W

TDP

300W

250 W

Suggested PSU

700 W

2x DVI 1x mini-DisplayPort 1.2

Outputs

No outputs

None

Power Connectors

2x 8-pin

Graphics Processor

GK107

GPU Name

Vega 10

GK107-301-A2

GPU Variant

Vega 10 XT GL (215-0894124)

Kepler

Architecture

GCN 5.0

TSMC

Foundry

GlobalFoundries

28 nm

Process Size

14 nm

1.27 billion

Transistors

12.5 billion

118 mm²

Die Size

495 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

2.1

1.1

Vulkan

1.2

3.0

CUDA

-

5.1

Shader Model

6.4

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