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GPU Comparison
NVIDIA Tesla S1075 vs NVIDIA GRID K160Q
NVIDIA Tesla S1075 vs NVIDIA GRID K160Q
VS
NVIDIA Tesla S1075
NVIDIA GRID K160Q
We compared two Professional market GPUs: 4GB VRAM Tesla S1075 and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla S1075 's Advantages
More VRAM (4GB vs 1GB)
Larger VRAM bandwidth (102.4GB/s vs 28.51GB/s)
48 additional rendering cores
NVIDIA GRID K160Q 's Advantages
Released 5 years late
Lower TDP (130W vs 800W)
Score
Benchmark
FP32 (float)
Tesla S1075
+90%
0.622 TFLOPS
GRID K160Q
0.326 TFLOPS
Tesla S1075
VS
GRID K160Q
Graphics Card
Jun 2008
Release Date
Jun 2013
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
-
-
Boost Clock
-
800 MHz
Memory Clock
891 MHz
Memory
4GB
Memory Size
1024MB
GDDR3
Memory Type
DDR3
512bit
Memory Bus
128bit
102.4GB/s
Bandwidth
28.51GB/s
Render Config
30
SM Count
-
-
Compute Units
-
240
Shading Units
192
80
TMUs
16
32
ROPs
16
-
Tensor Cores
-
-
RT Cores
-
-
L1 Cache
16 KB (per SMX)
256 KB
L2 Cache
256 KB
Theoretical Performance
19.52 GPixel/s
Pixel Rate
3.400 GPixel/s
48.80 GTexel/s
Texture Rate
13.60 GTexel/s
-
FP16 (half)
-
622.1 GFLOPS
FP32 (float)
326.4 GFLOPS
77.76 GFLOPS
FP64 (double)
13.60 GFLOPS
Graphics Processor
GT200B
GPU Name
GK107
-
GPU Variant
-
Tesla 2.0
Architecture
Kepler
TSMC
Foundry
TSMC
55 nm
Process Size
28 nm
1.4 billion
Transistors
1.27 billion
470 mm²
Die Size
118 mm²
Board Design
800W
TDP
130W
1200 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
-
Power Connectors
-
Graphics Features
11.1 (10_0)
DirectX
12 (11_0)
3.3
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.1
1.3
CUDA
3.0
4.0
Shader Model
5.1
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