NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Tesla K8

VS

NVIDIA Tesla V100 DGXS 16 GB

NVIDIA Tesla K8

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages

Released 3 years and 6 months late

Boost Clock has increased by 89% (1530MHz vs 811MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (897.0GB/s vs 160.0GB/s)

3584 additional rendering cores

NVIDIA Tesla K8 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 16 GB +529%

15.67 TFLOPS

Tesla K8

2.491 TFLOPS

Tesla V100 DGXS 16 GB

VS

Tesla K8

Graphics Card

Mar 2018

Release Date

Sep 2014

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1327 MHz

Base Clock

693 MHz

1530 MHz

Boost Clock

811 MHz

876 MHz

Memory Clock

1250 MHz

Memory

16GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

897.0GB/s

Bandwidth

160.0GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1536

320

TMUs

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

512 KB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

25.95 GPixel/s

489.6 GTexel/s

Texture Rate

103.8 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

2.491 TFLOPS

7.834 TFLOPS

FP64 (double)

103.8 GFLOPS

Board Design

250W

TDP

100W

600 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 6-pin

Graphics Processor

GV100

GPU Name

GK104

-

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

3.54 billion

815 mm²

Die Size

294 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.0

CUDA

3.0

6.6

Shader Model

5.1

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