Home GPU Comparison NVIDIA Tesla V100 PCIe 32 GB vs NVIDIA Quadro P600

NVIDIA Tesla V100 PCIe 32 GB vs NVIDIA Quadro P600

We compared two Professional market GPUs: 32GB VRAM Tesla V100 PCIe 32 GB and 2GB VRAM Quadro P600 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
Released 1 years and 1 months late
More VRAM (32GB vs 2GB)
Larger VRAM bandwidth (897.0GB/s vs 64.13GB/s)
4736 additional rendering cores
NVIDIA Quadro P600 's Advantages
Boost Clock has increased by 13% (1557MHz vs 1380MHz)
Lower TDP (40W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 PCIe 32 GB +1081%
14.13 TFLOPS
Quadro P600
1.196 TFLOPS
Blender
Tesla V100 PCIe 32 GB +1507%
1961
Quadro P600
122
OctaneBench
Tesla V100 PCIe 32 GB +1317%
326
Quadro P600
23
VS

Graphics Card

Mar 2018
Release Date
Feb 2017
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1230 MHz
Base Clock
1329 MHz
1380 MHz
Boost Clock
1557 MHz
876 MHz
Memory Clock
1002 MHz

Memory

32GB
Memory Size
2GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
128bit
897.0GB/s
Bandwidth
64.13GB/s

Render Config

-
-
-
80
SM Count
3
5120
Shading Units
384
320
TMUs
24
128
ROPs
16
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
48 KB (per SM)
6 MB
L2 Cache
1024 KB
-
-
-

Theoretical Performance

176.6 GPixel/s
Pixel Rate
24.91 GPixel/s
441.6 GTexel/s
Texture Rate
37.37 GTexel/s
28.26 TFLOPS
FP16 (half)
18.68 GFLOPS
14.13 TFLOPS
FP32 (float)
1196 GFLOPS
7.066 TFLOPS
FP64 (double)
37.37 GFLOPS

Board Design

250W
TDP
40W
600 W
Suggested PSU
200 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
2x 8-pin
Power Connectors
None

Graphics Processor

GV100
GPU Name
GP107
-
-
-
Volta
Architecture
Pascal
TSMC
Foundry
Samsung
12 nm
Process Size
14 nm
21.1 billion
Transistors
3.3 billion
815 mm²
Die Size
132 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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