NVIDIA Tesla K8 vs NVIDIA Tesla PG500 216

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Lower TDP (100W vs 250W)

NVIDIA Tesla PG500 216 's Advantages

Released 5 years and 2 months late

Boost Clock has increased by 70% (1380MHz vs 811MHz)

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 160.0GB/s)

3584 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8

2.491 TFLOPS

Tesla PG500 216 +467%

14.13 TFLOPS

Tesla K8

VS

Tesla PG500 216

Graphics Card

Sep 2014

Release Date

Nov 2019

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

693 MHz

Base Clock

1260 MHz

811 MHz

Boost Clock

1380 MHz

1250 MHz

Memory Clock

1106 MHz

Memory

8GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.0GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

-

Compute Units

-

1536

Shading Units

5120

128

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

176.6 GPixel/s

103.8 GTexel/s

Texture Rate

441.6 GTexel/s

-

FP16 (half)

28.26 TFLOPS

2.491 TFLOPS

FP32 (float)

14.13 TFLOPS

103.8 GFLOPS

FP64 (double)

7.066 TFLOPS

Graphics Processor

GK104

GPU Name

GV100

-

GPU Variant

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

3.54 billion

Transistors

21.1 billion

294 mm²

Die Size

815 mm²

Board Design

100W

TDP

250W

300 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 6-pin

Power Connectors

None

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.0

CUDA

7.0

5.1

Shader Model

6.6

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