NVIDIA Tesla K40st vs NVIDIA Tesla K8

VS

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

More VRAM (12GB vs 8GB)

Larger VRAM bandwidth (288.4GB/s vs 160.0GB/s)

1344 additional rendering cores

NVIDIA Tesla K8 's Advantages

Released 10 months late

Boost Clock811MHz

Lower TDP (100W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +32%

3.312 TFLOPS

Tesla K8

2.491 TFLOPS

Tesla K40st

VS

Tesla K8

Graphics Card

Nov 2013

Release Date

Sep 2014

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

693 MHz

-

Boost Clock

811 MHz

1502 MHz

Memory Clock

1250 MHz

Memory

12GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

288.4GB/s

Bandwidth

160.0GB/s

Render Config

-

SM Count

-

Compute Units

-

2880

Shading Units

1536

240

TMUs

128

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1536 KB

L2 Cache

512 KB

Theoretical Performance

34.50 GPixel/s

Pixel Rate

25.95 GPixel/s

138.0 GTexel/s

Texture Rate

103.8 GTexel/s

-

FP16 (half)

-

3.312 TFLOPS

FP32 (float)

2.491 TFLOPS

1104 GFLOPS

FP64 (double)

103.8 GFLOPS

Graphics Processor

GK110B

GPU Name

GK104

-

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

3.54 billion

561 mm²

Die Size

294 mm²

Board Design

245W

TDP

100W

550 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin

Graphics Features

12 (11_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.5

CUDA

3.0

5.1

Shader Model

5.1

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