Home GPU Comparison NVIDIA Quadro M1000M vs NVIDIA Tesla V100 PCIe 32 GB

NVIDIA Quadro M1000M vs NVIDIA Tesla V100 PCIe 32 GB

We compared two Professional market GPUs: 2GB VRAM Quadro M1000M and 32GB VRAM Tesla V100 PCIe 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M1000M 's Advantages
Lower TDP (40W vs 250W)
NVIDIA Tesla V100 PCIe 32 GB 's Advantages
Released 2 years and 7 months late
Boost Clock1380MHz
More VRAM (32GB vs 2GB)
Larger VRAM bandwidth (897.0GB/s vs 80.19GB/s)
4608 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro M1000M
1.017 TFLOPS
Tesla V100 PCIe 32 GB +1289%
14.13 TFLOPS
Blender
Quadro M1000M
124
Tesla V100 PCIe 32 GB +1481%
1961
OctaneBench
Quadro M1000M
26
Tesla V100 PCIe 32 GB +1153%
326
VS

Graphics Card

Aug 2015
Release Date
Mar 2018
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1230 MHz
-
Boost Clock
1380 MHz
1253 MHz
Memory Clock
876 MHz

Memory

2GB
Memory Size
32GB
GDDR5
Memory Type
HBM2
128bit
Memory Bus
4096bit
80.19GB/s
Bandwidth
897.0GB/s

Render Config

-
-
-
-
SM Count
80
512
Shading Units
5120
32
TMUs
320
16
ROPs
128
-
Tensor Cores
640
-
-
-
64 KB (per SMM)
L1 Cache
128 KB (per SM)
2 MB
L2 Cache
6 MB
-
-
-

Theoretical Performance

15.89 GPixel/s
Pixel Rate
176.6 GPixel/s
31.78 GTexel/s
Texture Rate
441.6 GTexel/s
-
FP16 (half)
28.26 TFLOPS
1017 GFLOPS
FP32 (float)
14.13 TFLOPS
31.78 GFLOPS
FP64 (double)
7.066 TFLOPS

Board Design

40W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
None
Power Connectors
2x 8-pin

Graphics Processor

GM107
GPU Name
GV100
N16P-Q1-A2
GPU Variant
-
Maxwell
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
1.87 billion
Transistors
21.1 billion
148 mm²
Die Size
815 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.0
CUDA
7.0
5.1
Shader Model
6.6

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