NVIDIA Tesla C1060 vs NVIDIA Tesla K8

VS

We compared two Professional market GPUs: 4GB VRAM Tesla C1060 and 8GB VRAM Tesla K8 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 C1060

0.622 TFLOPS

Tesla K8 +300%

2.491 TFLOPS

Tesla C1060

VS

Tesla K8

Graphics Card

Apr 2009

Release Date

Sep 2014

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

693 MHz

-

Boost Clock

811 MHz

800 MHz

Memory Clock

1250 MHz

Memory

4GB

Memory Size

8GB

GDDR3

Memory Type

GDDR5

512bit

Memory Bus

256bit

102.4GB/s

Bandwidth

160.0GB/s

Render Config

30

SM Count

-

Compute Units

-

240

Shading Units

1536

80

TMUs

128

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

512 KB

Theoretical Performance

19.52 GPixel/s

Pixel Rate

25.95 GPixel/s

48.80 GTexel/s

Texture Rate

103.8 GTexel/s

-

FP16 (half)

-

622.1 GFLOPS

FP32 (float)

2.491 TFLOPS

77.76 GFLOPS

FP64 (double)

103.8 GFLOPS

Graphics Processor

GT200B

GPU Name

GK104

-

GPU Variant

-

Tesla 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

55 nm

Process Size

28 nm

1.4 billion

Transistors

3.54 billion

470 mm²

Die Size

294 mm²

Board Design

188W

TDP

100W

450 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

1x 6-pin

Graphics Features

11.1 (10_0)

DirectX

12 (11_0)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.1

1.3

CUDA

3.0

4.0

Shader Model

5.1

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