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GPU Comparison
NVIDIA Tesla S2050 vs NVIDIA Tesla V100 FHHL
NVIDIA Tesla S2050 vs NVIDIA Tesla V100 FHHL
VS
NVIDIA Tesla S2050
NVIDIA Tesla V100 FHHL
We compared two Professional market GPUs: 3GB VRAM Tesla S2050 and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla V100 FHHL 's Advantages
Released 6 years and 8 months late
Boost Clock1290MHz
More VRAM (16GB vs 3GB)
Larger VRAM bandwidth (829.4GB/s vs 148.4GB/s)
4672 additional rendering cores
Lower TDP (250W vs 900W)
Score
Benchmark
FP32 (float)
Tesla S2050
1.028 TFLOPS
Tesla V100 FHHL
+1185%
13.21 TFLOPS
Tesla S2050
VS
Tesla V100 FHHL
Graphics Card
Jul 2011
Release Date
Mar 2018
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
937 MHz
-
Boost Clock
1290 MHz
773 MHz
Memory Clock
810 MHz
Memory
3GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
148.4GB/s
Bandwidth
829.4GB/s
Render Config
-
-
-
14
SM Count
80
448
Shading Units
5120
56
TMUs
320
48
ROPs
128
-
Tensor Cores
640
-
-
-
64 KB (per SM)
L1 Cache
128 KB (per SM)
768 KB
L2 Cache
6 MB
-
-
-
Theoretical Performance
16.07 GPixel/s
Pixel Rate
165.1 GPixel/s
32.14 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
1028 GFLOPS
FP32 (float)
13.21 TFLOPS
513.9 GFLOPS
FP64 (double)
6.605 TFLOPS
Board Design
900W
TDP
250W
1300 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin
Graphics Processor
GF100
GPU Name
GV100
-
-
-
Fermi
Architecture
Volta
TSMC
Foundry
TSMC
40 nm
Process Size
12 nm
3.1 billion
Transistors
21.1 billion
529 mm²
Die Size
815 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
7.0
5.1
Shader Model
6.6
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