Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K1100M

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K1100M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 2GB VRAM Quadro K1100M 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 6 years and 4 months late
Boost Clock1597MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (1133GB/s vs 44.80GB/s)
4736 additional rendering cores
NVIDIA Quadro K1100M 's Advantages
Lower TDP (45W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB +2916%
16.35 TFLOPS
Quadro K1100M
0.542 TFLOPS
Blender
Tesla V100 SXM2 16 GB +7269%
2432
Quadro K1100M
33
VS

Graphics Card

Nov 2019
Release Date
Jul 2013
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-A (3.0)

Clock Speeds

1245 MHz
Base Clock
-
1597 MHz
Boost Clock
-
1106 MHz
Memory Clock
700 MHz

Memory

16GB
Memory Size
2GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
128bit
1133GB/s
Bandwidth
44.80GB/s

Render Config

80
SM Count
-
-
Compute Units
-
5120
Shading Units
384
320
TMUs
32
128
ROPs
16
640
Tensor Cores
-
-
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
256 KB

Theoretical Performance

204.4 GPixel/s
Pixel Rate
5.648 GPixel/s
511.0 GTexel/s
Texture Rate
22.59 GTexel/s
32.71 TFLOPS
FP16 (half)
-
16.35 TFLOPS
FP32 (float)
542.2 GFLOPS
8.177 TFLOPS
FP64 (double)
22.59 GFLOPS

Graphics Processor

GV100
GPU Name
GK107
-
GPU Variant
-
Volta
Architecture
Kepler
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
1.27 billion
815 mm²
Die Size
118 mm²

Board Design

250W
TDP
45W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Features

12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
7.0
CUDA
3.0
6.6
Shader Model
5.1

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