Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K5200

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K5200

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 8GB VRAM Quadro K5200 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 5 years and 4 months late
Boost Clock has increased by 107% (1597MHz vs 771MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (1133GB/s vs 192.3GB/s)
2816 additional rendering cores
NVIDIA Quadro K5200 's Advantages
Lower TDP (150W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB +360%
16.35 TFLOPS
Quadro K5200
3.553 TFLOPS
Blender
Tesla V100 SXM2 16 GB +730%
2432
Quadro K5200
293
VS

Graphics Card

Nov 2019
Release Date
Jul 2014
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1245 MHz
Base Clock
667 MHz
1597 MHz
Boost Clock
771 MHz
1106 MHz
Memory Clock
1502 MHz

Memory

16GB
Memory Size
8GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
256bit
1133GB/s
Bandwidth
192.3GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
2304
320
TMUs
192
128
ROPs
48
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
-
-
-
-

Theoretical Performance

204.4 GPixel/s
Pixel Rate
37.01 GPixel/s
511.0 GTexel/s
Texture Rate
148.0 GTexel/s
32.71 TFLOPS
FP16 (half)
-
16.35 TFLOPS
FP32 (float)
3.553 TFLOPS
8.177 TFLOPS
FP64 (double)
148.0 GFLOPS

Board Design

250W
TDP
150W
600 W
Suggested PSU
450 W
No outputs
Outputs
2x DVI 2x DisplayPort 1.2
None
Power Connectors
1x 6-pin

Graphics Processor

GV100
GPU Name
GK110B
-
-
-
Volta
Architecture
Kepler
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
7.08 billion
815 mm²
Die Size
561 mm²

Graphics Features

12 (12_1)
DirectX
12 (11_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
7.0
CUDA
3.5
6.6
Shader Model
5.1

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