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GPU Comparison
NVIDIA GRID K160Q vs NVIDIA Tesla T10 Processor
NVIDIA GRID K160Q vs NVIDIA Tesla T10 Processor
VS
NVIDIA GRID K160Q
NVIDIA Tesla T10 Processor
We compared two Professional market GPUs: 1024MB VRAM GRID K160Q and 4GB VRAM Tesla T10 Processor to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID K160Q 's Advantages
Released 4 years and 2 months late
Lower TDP (130W vs 188W)
NVIDIA Tesla T10 Processor 's Advantages
More VRAM (4GB vs 1024GB)
Larger VRAM bandwidth (102.4GB/s vs 28.51GB/s)
48 additional rendering cores
Score
Benchmark
FP32 (float)
GRID K160Q
0.326 TFLOPS
Tesla T10 Processor
+90%
0.622 TFLOPS
NVIDIA GRID K160Q
VS
NVIDIA Tesla T10 Processor
Graphics Card
Jun 2013
Release Date
Apr 2009
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
-
-
-
-
-
891 MHz
Memory Clock
800 MHz
Memory
1024MB
Memory Size
4GB
DDR3
Memory Type
GDDR3
128bit
Memory Bus
512bit
28.51GB/s
Bandwidth
102.4GB/s
Render Config
-
-
-
-
SM Count
30
192
Shading Units
240
16
TMUs
80
16
ROPs
32
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
-
256 KB
L2 Cache
256 KB
-
-
-
Theoretical Performance
3.400 GPixel/s
Pixel Rate
19.52 GPixel/s
13.60 GTexel/s
Texture Rate
48.80 GTexel/s
-
-
-
326.4 GFLOPS
FP32 (float)
622.1 GFLOPS
13.60 GFLOPS
FP64 (double)
77.76 GFLOPS
Board Design
130W
TDP
188W
300 W
Suggested PSU
450 W
No outputs
Outputs
No outputs
-
-
-
Graphics Processor
GK107
GPU Name
GT200B
-
-
-
Kepler
Architecture
Tesla 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
55 nm
1.27 billion
Transistors
1.4 billion
118 mm²
Die Size
470 mm²
Graphics Features
12 (11_0)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1
1.1
Vulkan
N/A
3.0
CUDA
1.3
5.1
Shader Model
4.0
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