Home GPU Comparison NVIDIA Tesla V100 PCIe 32 GB vs NVIDIA Quadro P2200

NVIDIA Tesla V100 PCIe 32 GB vs NVIDIA Quadro P2200

We compared two Professional market GPUs: 32GB VRAM Tesla V100 PCIe 32 GB and 5GB VRAM Quadro P2200 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 PCIe 32 GB 's Advantages
More VRAM (32GB vs 5GB)
Larger VRAM bandwidth (897.0GB/s vs 200.2GB/s)
3840 additional rendering cores
NVIDIA Quadro P2200 's Advantages
Released 1 years and 3 months late
Boost Clock has increased by 8% (1493MHz vs 1380MHz)
Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 PCIe 32 GB +269%
14.13 TFLOPS
Quadro P2200
3.822 TFLOPS
Blender
Tesla V100 PCIe 32 GB +509%
1961
Quadro P2200
322
OctaneBench
Tesla V100 PCIe 32 GB +417%
326
Quadro P2200
63
VS

Graphics Card

Mar 2018
Release Date
Jun 2019
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1230 MHz
Base Clock
1000 MHz
1380 MHz
Boost Clock
1493 MHz
876 MHz
Memory Clock
1251 MHz

Memory

32GB
Memory Size
5GB
HBM2
Memory Type
GDDR5X
4096bit
Memory Bus
160bit
897.0GB/s
Bandwidth
200.2GB/s

Render Config

-
-
-
80
SM Count
10
5120
Shading Units
1280
320
TMUs
80
128
ROPs
40
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
48 KB (per SM)
6 MB
L2 Cache
1280 KB
-
-
-

Theoretical Performance

176.6 GPixel/s
Pixel Rate
59.72 GPixel/s
441.6 GTexel/s
Texture Rate
119.4 GTexel/s
28.26 TFLOPS
FP16 (half)
59.72 GFLOPS
14.13 TFLOPS
FP32 (float)
3.822 TFLOPS
7.066 TFLOPS
FP64 (double)
119.4 GFLOPS

Board Design

250W
TDP
75W
600 W
Suggested PSU
250 W
No outputs
Outputs
4x DisplayPort 1.4a
2x 8-pin
Power Connectors
None

Graphics Processor

GV100
GPU Name
GP106
-
-
-
Volta
Architecture
Pascal
TSMC
Foundry
TSMC
12 nm
Process Size
16 nm
21.1 billion
Transistors
4.4 billion
815 mm²
Die Size
200 mm²

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.0
CUDA
6.1
6.6
Shader Model
6.4

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