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GPU Comparison
NVIDIA Quadro K4000M vs NVIDIA Tesla C2090
NVIDIA Quadro K4000M vs NVIDIA Tesla C2090
VS
NVIDIA Quadro K4000M
NVIDIA Tesla C2090
We compared two Professional market GPUs: 4GB VRAM Quadro K4000M and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro K4000M 's Advantages
Released 11 months late
448 additional rendering cores
Lower TDP (100W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (177.4GB/s vs 89.60GB/s)
Score
Benchmark
FP32 (float)
Quadro K4000M
1.154 TFLOPS
Tesla C2090
+15%
1.332 TFLOPS
Quadro K4000M
VS
Tesla C2090
Graphics Card
Jun 2012
Release Date
Jul 2011
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
Base Clock
-
-
Boost Clock
-
700 MHz
Memory Clock
924 MHz
Memory
4GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
384bit
89.60GB/s
Bandwidth
177.4GB/s
Render Config
-
SM Count
16
-
Compute Units
-
960
Shading Units
512
80
TMUs
64
32
ROPs
48
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
64 KB (per SM)
512 KB
L2 Cache
768 KB
Theoretical Performance
12.02 GPixel/s
Pixel Rate
20.83 GPixel/s
48.08 GTexel/s
Texture Rate
41.66 GTexel/s
-
FP16 (half)
-
1154 GFLOPS
FP32 (float)
1332 GFLOPS
48.08 GFLOPS
FP64 (double)
666.1 GFLOPS
Graphics Processor
GK104
GPU Name
GF110
N14E-Q3-A2
GPU Variant
-
Kepler
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
3.54 billion
Transistors
3 billion
294 mm²
Die Size
520 mm²
Board Design
100W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
-
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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4
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7
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8
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9
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10
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