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GPU Comparison
NVIDIA Quadro K200M vs NVIDIA Tesla C870
NVIDIA Quadro K200M vs NVIDIA Tesla C870
VS
NVIDIA Quadro K200M
NVIDIA Tesla C870
We compared two Professional market GPUs: 1024MB VRAM Quadro K200M and 1536MB VRAM Tesla C870 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro K200M 's Advantages
Released 7 years and 3 months late
64 additional rendering cores
Lower TDP (35W vs 171W)
NVIDIA Tesla C870 's Advantages
More VRAM (1536GB vs 1024GB)
Larger VRAM bandwidth (76.80GB/s vs 12.80GB/s)
Score
Benchmark
FP32 (float)
Quadro K200M
0.326 TFLOPS
Tesla C870
+6%
0.346 TFLOPS
Quadro K200M
VS
Tesla C870
Graphics Card
Aug 2014
Release Date
May 2007
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 1.0 x16
Clock Speeds
-
-
-
-
-
-
800 MHz
Memory Clock
800 MHz
Memory
1024MB
Memory Size
1536MB
DDR3
Memory Type
GDDR3
64bit
Memory Bus
384bit
12.80GB/s
Bandwidth
76.80GB/s
Render Config
-
-
-
-
SM Count
16
192
Shading Units
128
16
TMUs
32
8
ROPs
24
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
-
128 KB
L2 Cache
96 KB
-
-
-
Theoretical Performance
3.400 GPixel/s
Pixel Rate
14.40 GPixel/s
13.60 GTexel/s
Texture Rate
38.40 GTexel/s
-
-
-
326.4 GFLOPS
FP32 (float)
345.6 GFLOPS
13.60 GFLOPS
FP64 (double)
-
Board Design
35W
TDP
171W
-
Suggested PSU
450 W
No outputs
Outputs
No outputs
-
Power Connectors
2x 6-pin
Graphics Processor
GK107
GPU Name
G80
N14M-Q1
GPU Variant
-
Kepler
Architecture
Tesla
TSMC
Foundry
TSMC
28 nm
Process Size
90 nm
1.27 billion
Transistors
0.681 billion
118 mm²
Die Size
484 mm²
Graphics Features
12 (11_0)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1 (1.0)
1.1
Vulkan
N/A
3.0
CUDA
1.0
5.1
Shader Model
4.0
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9
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10
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