NVIDIA Tesla C870 vs NVIDIA Quadro K100M

VS

We compared two Professional market GPUs: 1536MB VRAM Tesla C870 and 1024MB VRAM Quadro K100M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C870 's Advantages

More VRAM (1536GB vs 1024GB)

Larger VRAM bandwidth (76.80GB/s vs 12.80GB/s)

NVIDIA Quadro K100M 's Advantages

Released 7 years and 3 months late

64 additional rendering cores

Lower TDP (35W vs 171W)

Score

Benchmark

FP32 (float)

Tesla C870 +6%

0.346 TFLOPS

Quadro K100M

0.326 TFLOPS

Tesla C870

VS

Quadro K100M

Graphics Card

May 2007

Release Date

Aug 2014

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 1.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

800 MHz

Memory Clock

800 MHz

Memory

1536MB

Memory Size

1024MB

GDDR3

Memory Type

DDR3

384bit

Memory Bus

64bit

76.80GB/s

Bandwidth

12.80GB/s

Render Config

16

SM Count

-

Compute Units

-

128

Shading Units

192

32

TMUs

16

24

ROPs

8

-

Tensor Cores

-

RT Cores

-

L1 Cache

16 KB (per SMX)

96 KB

L2 Cache

128 KB

Theoretical Performance

14.40 GPixel/s

Pixel Rate

3.400 GPixel/s

38.40 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

345.6 GFLOPS

FP32 (float)

326.4 GFLOPS

-

FP64 (double)

13.60 GFLOPS

Graphics Processor

G80

GPU Name

GK107

-

GPU Variant

N14M-Q1

Tesla

Architecture

Kepler

TSMC

Foundry

TSMC

90 nm

Process Size

28 nm

0.681 billion

Transistors

1.27 billion

484 mm²

Die Size

118 mm²

Board Design

171W

TDP

35W

450 W

Suggested PSU

-

No outputs

Outputs

No outputs

2x 6-pin

Power Connectors

-

Graphics Features

11.1 (10_0)

DirectX

12 (11_0)

3.3

OpenGL

4.6

1.1 (1.0)

OpenCL

3.0

N/A

Vulkan

1.1

1.0

CUDA

3.0

4.0

Shader Model

5.1

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