Home GPU Comparison NVIDIA Quadro K600 vs NVIDIA Tesla C2090

NVIDIA Quadro K600 vs NVIDIA Tesla C2090

We compared two Professional market GPUs: 1024MB VRAM Quadro K600 and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K600 's Advantages
Released 1 years and 8 months late
Lower TDP (41W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (177.4GB/s vs 28.51GB/s)
320 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K600
0.336 TFLOPS
Tesla C2090 +296%
1.332 TFLOPS
VS

Graphics Card

Mar 2013
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

-
-
-
-
-
-
891 MHz
Memory Clock
924 MHz

Memory

1024MB
Memory Size
6GB
DDR3
Memory Type
GDDR5
128bit
Memory Bus
384bit
28.51GB/s
Bandwidth
177.4GB/s

Render Config

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

Theoretical Performance

3.504 GPixel/s
Pixel Rate
20.83 GPixel/s
14.02 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
336.4 GFLOPS
FP32 (float)
1332 GFLOPS
14.02 GFLOPS
FP64 (double)
666.1 GFLOPS

Board Design

41W
TDP
250W
200 W
Suggested PSU
600 W
1x DVI 1x DisplayPort 1.2
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GK107
GPU Name
GF110
GK107-301-A2
GPU Variant
-
Kepler
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
1.27 billion
Transistors
3 billion
118 mm²
Die Size
520 mm²

Graphics Features

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

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