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GPU Comparison
NVIDIA Quadro GV100 vs NVIDIA Tesla S1075
NVIDIA Quadro GV100 vs NVIDIA Tesla S1075
VS
NVIDIA Quadro GV100
NVIDIA Tesla S1075
We compared two Professional market GPUs: 32GB VRAM Quadro GV100 and 4GB VRAM Tesla S1075 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro GV100 's Advantages
Released 9 years and 9 months late
Boost Clock1627MHz
More VRAM (32GB vs 4GB)
Larger VRAM bandwidth (868.4GB/s vs 102.4GB/s)
4880 additional rendering cores
Lower TDP (250W vs 800W)
Score
Benchmark
FP32 (float)
Quadro GV100
+2578%
16.66 TFLOPS
Tesla S1075
0.622 TFLOPS
Quadro GV100
VS
Tesla S1075
Graphics Card
Mar 2018
Release Date
Jun 2008
Quadro Volta
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1132 MHz
Base Clock
-
1627 MHz
Boost Clock
-
848 MHz
Memory Clock
800 MHz
Memory
32GB
Memory Size
4GB
HBM2
Memory Type
GDDR3
4096bit
Memory Bus
512bit
868.4GB/s
Bandwidth
102.4GB/s
Render Config
-
-
-
80
SM Count
30
5120
Shading Units
240
320
TMUs
80
128
ROPs
32
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
256 KB
-
-
-
Theoretical Performance
208.3 GPixel/s
Pixel Rate
19.52 GPixel/s
520.6 GTexel/s
Texture Rate
48.80 GTexel/s
33.32 TFLOPS
FP16 (half)
-
16.66 TFLOPS
FP32 (float)
622.1 GFLOPS
8.330 TFLOPS
FP64 (double)
77.76 GFLOPS
Board Design
250W
TDP
800W
600 W
Suggested PSU
1200 W
4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
-
Graphics Processor
GV100
GPU Name
GT200B
GV100-875-A1
GPU Variant
-
Volta
Architecture
Tesla 2.0
TSMC
Foundry
TSMC
12 nm
Process Size
55 nm
21.1 billion
Transistors
1.4 billion
815 mm²
Die Size
470 mm²
Graphics Features
12 (12_1)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1
1.3
Vulkan
N/A
7.0
CUDA
1.3
6.7
Shader Model
4.0
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9
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