Home GPU Comparison NVIDIA Tesla C2090 vs NVIDIA Quadro K100M

NVIDIA Tesla C2090 vs NVIDIA Quadro K100M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 1024MB VRAM Quadro K100M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (177.4GB/s vs 12.80GB/s)
320 additional rendering cores
NVIDIA Quadro K100M 's Advantages
Released 3 years and 1 months late
Lower TDP (35W vs 250W)

Score

Benchmark

FP32 (float)
Tesla C2090 +308%
1.332 TFLOPS
Quadro K100M
0.326 TFLOPS
VS

Graphics Card

Jul 2011
Release Date
Aug 2014
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
MXM-A (3.0)

Clock Speeds

-
-
-
-
-
-
924 MHz
Memory Clock
800 MHz

Memory

6GB
Memory Size
1024MB
GDDR5
Memory Type
DDR3
384bit
Memory Bus
64bit
177.4GB/s
Bandwidth
12.80GB/s

Render Config

-
-
-
16
SM Count
-
512
Shading Units
192
64
TMUs
16
48
ROPs
8
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
16 KB (per SMX)
768 KB
L2 Cache
128 KB
-
-
-

Theoretical Performance

20.83 GPixel/s
Pixel Rate
3.400 GPixel/s
41.66 GTexel/s
Texture Rate
13.60 GTexel/s
-
-
-
1332 GFLOPS
FP32 (float)
326.4 GFLOPS
666.1 GFLOPS
FP64 (double)
13.60 GFLOPS

Board Design

250W
TDP
35W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
-
-
-

Graphics Processor

GF110
GPU Name
GK107
-
GPU Variant
N14M-Q1
Fermi 2.0
Architecture
Kepler
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
1.27 billion
520 mm²
Die Size
118 mm²

Graphics Features

12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.1
2.0
CUDA
3.0
5.1
Shader Model
5.1

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