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GPU Comparison
NVIDIA Tesla K80 vs NVIDIA Quadro K1000M
NVIDIA Tesla K80 vs NVIDIA Quadro K1000M
VS
NVIDIA Tesla K80
NVIDIA Quadro K1000M
We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 2GB VRAM Quadro K1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K80 's Advantages
Released 2 years and 5 months late
Boost Clock824MHz
More VRAM (12GB vs 2GB)
Larger VRAM bandwidth (240.6GB/s vs 28.80GB/s)
2304 additional rendering cores
NVIDIA Quadro K1000M 's Advantages
Lower TDP (45W vs 300W)
Score
Benchmark
FP32 (float)
Tesla K80
+1161%
4.113 TFLOPS
Quadro K1000M
0.326 TFLOPS
Blender
Tesla K80
+1676%
373
Quadro K1000M
21
Tesla K80
VS
Quadro K1000M
Graphics Card
Nov 2014
Release Date
Jun 2012
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-A (3.0)
Clock Speeds
562 MHz
Base Clock
-
824 MHz
Boost Clock
-
1253 MHz
Memory Clock
900 MHz
Memory
12GB
Memory Size
2GB
GDDR5
Memory Type
DDR3
384bit
Memory Bus
128bit
240.6GB/s
Bandwidth
28.80GB/s
Render Config
-
SM Count
-
-
Compute Units
-
2496
Shading Units
192
208
TMUs
16
48
ROPs
16
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
16 KB (per SMX)
1536 KB
L2 Cache
256 KB
Theoretical Performance
42.85 GPixel/s
Pixel Rate
3.400 GPixel/s
171.4 GTexel/s
Texture Rate
13.60 GTexel/s
-
FP16 (half)
-
4.113 TFLOPS
FP32 (float)
326.4 GFLOPS
1371 GFLOPS
FP64 (double)
13.60 GFLOPS
Graphics Processor
GK210
GPU Name
GK107
GK210-885-A1
GPU Variant
N14P-Q1-A2
Kepler 2.0
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
7.1 billion
Transistors
1.27 billion
561 mm²
Die Size
118 mm²
Board Design
300W
TDP
45W
700 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
-
Graphics Features
12 (11_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.1
3.7
CUDA
3.0
5.1
Shader Model
5.1
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