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GPU Comparison
NVIDIA GRID K160Q vs NVIDIA Tesla K40st
NVIDIA GRID K160Q vs NVIDIA Tesla K40st
VS
NVIDIA GRID K160Q
NVIDIA Tesla K40st
We compared two Professional market GPUs: 1024MB VRAM GRID K160Q and 12GB VRAM Tesla K40st to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID K160Q 's Advantages
Lower TDP (130W vs 245W)
NVIDIA Tesla K40st 's Advantages
More VRAM (12GB vs 1024GB)
Larger VRAM bandwidth (288.4GB/s vs 28.51GB/s)
2688 additional rendering cores
Score
Benchmark
FP32 (float)
GRID K160Q
0.326 TFLOPS
Tesla K40st
+915%
3.312 TFLOPS
GRID K160Q
VS
Tesla K40st
Graphics Card
Jun 2013
Release Date
Nov 2013
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
-
-
-
-
-
891 MHz
Memory Clock
1502 MHz
Memory
1024MB
Memory Size
12GB
DDR3
Memory Type
GDDR5
128bit
Memory Bus
384bit
28.51GB/s
Bandwidth
288.4GB/s
Render Config
-
-
-
-
-
-
192
Shading Units
2880
16
TMUs
240
16
ROPs
48
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
16 KB (per SMX)
256 KB
L2 Cache
1536 KB
-
-
-
Theoretical Performance
3.400 GPixel/s
Pixel Rate
34.50 GPixel/s
13.60 GTexel/s
Texture Rate
138.0 GTexel/s
-
-
-
326.4 GFLOPS
FP32 (float)
3.312 TFLOPS
13.60 GFLOPS
FP64 (double)
1104 GFLOPS
Board Design
130W
TDP
245W
300 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
-
-
-
Graphics Processor
GK107
GPU Name
GK110B
-
-
-
Kepler
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
1.27 billion
Transistors
7.08 billion
118 mm²
Die Size
561 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.1
3.0
CUDA
3.5
5.1
Shader Model
5.1
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