NVIDIA Tesla K80 vs AMD Radeon Instinct MI25

VS

NVIDIA Tesla K80 AMD Radeon Instinct MI25

We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 16GB VRAM Radeon Instinct MI25 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Instinct MI25 's Advantages

Released 2 years and 7 months late

Boost Clock has increased by 82% (1500MHz vs 824MHz)

More VRAM (16GB vs 12GB)

Larger VRAM bandwidth (436.2GB/s vs 240.6GB/s)

1600 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K80

4.113 TFLOPS

Radeon Instinct MI25 +198%

12.29 TFLOPS

Tesla K80

VS

Radeon Instinct MI25

Graphics Card

Nov 2014

Release Date

Jun 2017

Tesla

Generation

Radeon Instinct

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

562 MHz

Base Clock

1400 MHz

824 MHz

Boost Clock

1500 MHz

1253 MHz

Memory Clock

852 MHz

Memory

12GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

2048bit

240.6GB/s

Bandwidth

436.2GB/s

Render Config

-

SM Count

-

Compute Units

64

2496

Shading Units

4096

208

TMUs

256

48

ROPs

64

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per CU)

1536 KB

L2 Cache

4 MB

Theoretical Performance

42.85 GPixel/s

Pixel Rate

96.00 GPixel/s

171.4 GTexel/s

Texture Rate

384.0 GTexel/s

-

FP16 (half)

24.58 TFLOPS

4.113 TFLOPS

FP32 (float)

12.29 TFLOPS

1371 GFLOPS

FP64 (double)

768.0 GFLOPS

Graphics Processor

GK210

GPU Name

Vega 10

GK210-885-A1

GPU Variant

Vega 10 XT GL (215-0894124)

Kepler 2.0

Architecture

GCN 5.0

TSMC

Foundry

GlobalFoundries

28 nm

Process Size

14 nm

7.1 billion

Transistors

12.5 billion

561 mm²

Die Size

495 mm²

Board Design

300W

TDP

300W

700 W

Suggested PSU

700 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

2x 8-pin

Graphics Features

12 (11_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

2.1

1.1

Vulkan

1.2

3.7

CUDA

-

5.1

Shader Model

6.4

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