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GPU Comparison
NVIDIA Quadro K2000M vs NVIDIA Tesla V100 PCIe 16 GB
NVIDIA Quadro K2000M vs NVIDIA Tesla V100 PCIe 16 GB
VS
NVIDIA Quadro K2000M
NVIDIA Tesla V100 PCIe 16 GB
We compared two Professional market GPUs: 2GB VRAM Quadro K2000M and 16GB VRAM Tesla V100 PCIe 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro K2000M 's Advantages
Lower TDP (55W vs 300W)
NVIDIA Tesla V100 PCIe 16 GB 's Advantages
Released 5 years late
Boost Clock1380MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (897.0GB/s vs 28.80GB/s)
4736 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro K2000M
0.572 TFLOPS
Tesla V100 PCIe 16 GB
+2370%
14.13 TFLOPS
OctaneBench
Quadro K2000M
12
Tesla V100 PCIe 16 GB
+2766%
344
Quadro K2000M
VS
Tesla V100 PCIe 16 GB
Graphics Card
Jun 2012
Release Date
Jun 2017
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1245 MHz
-
Boost Clock
1380 MHz
900 MHz
Memory Clock
876 MHz
Memory
2GB
Memory Size
16GB
DDR3
Memory Type
HBM2
128bit
Memory Bus
4096bit
28.80GB/s
Bandwidth
897.0GB/s
Render Config
-
-
-
-
SM Count
80
384
Shading Units
5120
32
TMUs
320
16
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
256 KB
L2 Cache
6 MB
-
-
-
Theoretical Performance
5.960 GPixel/s
Pixel Rate
176.6 GPixel/s
23.84 GTexel/s
Texture Rate
441.6 GTexel/s
-
FP16 (half)
28.26 TFLOPS
572.2 GFLOPS
FP32 (float)
14.13 TFLOPS
23.84 GFLOPS
FP64 (double)
7.066 TFLOPS
Board Design
55W
TDP
300W
-
Suggested PSU
700 W
No outputs
Outputs
No outputs
-
Power Connectors
2x 8-pin
Graphics Processor
GK107
GPU Name
GV100
N14P-Q3-A2
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
1.27 billion
Transistors
21.1 billion
118 mm²
Die Size
815 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
7.0
5.1
Shader Model
6.6
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