Home GPU Comparison NVIDIA Quadro GP100 vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro GP100 vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro GP100 's Advantages
Lower TDP (235W vs 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 3 years and 1 months late
Boost Clock has increased by 11% (1597MHz vs 1442MHz)
Larger VRAM bandwidth (1133GB/s vs 732.2GB/s)
1536 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro GP100
10.34 TFLOPS
Tesla V100 SXM2 16 GB +58%
16.35 TFLOPS
OctaneBench
Quadro GP100
240
Tesla V100 SXM2 16 GB +47%
354
VS

Graphics Card

Oct 2016
Release Date
Nov 2019
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1304 MHz
Base Clock
1245 MHz
1442 MHz
Boost Clock
1597 MHz
715 MHz
Memory Clock
1106 MHz

Memory

16GB
Memory Size
16GB
HBM2
Memory Type
HBM2
4096bit
Memory Bus
4096bit
732.2GB/s
Bandwidth
1133GB/s

Render Config

56
SM Count
80
-
Compute Units
-
3584
Shading Units
5120
224
TMUs
320
96
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
24 KB (per SM)
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
6 MB

Theoretical Performance

138.4 GPixel/s
Pixel Rate
204.4 GPixel/s
323.0 GTexel/s
Texture Rate
511.0 GTexel/s
20.67 TFLOPS
FP16 (half)
32.71 TFLOPS
10.34 TFLOPS
FP32 (float)
16.35 TFLOPS
5.168 TFLOPS
FP64 (double)
8.177 TFLOPS

Graphics Processor

GP100
GPU Name
GV100
-
GPU Variant
-
Pascal
Architecture
Volta
TSMC
Foundry
TSMC
16 nm
Process Size
12 nm
15.3 billion
Transistors
21.1 billion
610 mm²
Die Size
815 mm²

Board Design

235W
TDP
250W
550 W
Suggested PSU
600 W
1x DVI 4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
None

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
6.0
CUDA
7.0
6.4
Shader Model
6.6

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