NVIDIA Tesla K8 vs NVIDIA Tesla C1060

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 4GB VRAM Tesla C1060 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Released 5 years and 5 months late

Boost Clock811MHz

More VRAM (8GB vs 4GB)

Larger VRAM bandwidth (160.0GB/s vs 102.4GB/s)

1296 additional rendering cores

Lower TDP (100W vs 188W)

Score

Benchmark

FP32 (float)

Tesla K8 +300%

2.491 TFLOPS

Tesla C1060

0.622 TFLOPS

Tesla K8

VS

Tesla C1060

Graphics Card

Sep 2014

Release Date

Apr 2009

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

693 MHz

Base Clock

-

811 MHz

Boost Clock

-

1250 MHz

Memory Clock

800 MHz

Memory

8GB

Memory Size

4GB

GDDR5

Memory Type

GDDR3

256bit

Memory Bus

512bit

160.0GB/s

Bandwidth

102.4GB/s

Render Config

-

SM Count

30

-

Compute Units

-

1536

Shading Units

240

128

TMUs

80

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

-

512 KB

L2 Cache

256 KB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

19.52 GPixel/s

103.8 GTexel/s

Texture Rate

48.80 GTexel/s

-

FP16 (half)

-

2.491 TFLOPS

FP32 (float)

622.1 GFLOPS

103.8 GFLOPS

FP64 (double)

77.76 GFLOPS

Graphics Processor

GK104

GPU Name

GT200B

-

GPU Variant

-

Kepler

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

55 nm

3.54 billion

Transistors

1.4 billion

294 mm²

Die Size

470 mm²

Board Design

100W

TDP

188W

300 W

Suggested PSU

450 W

No outputs

Outputs

No outputs

1x 6-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (11_0)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

Vulkan

N/A

3.0

CUDA

1.3

5.1

Shader Model

4.0

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