Home GPU Comparison NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro K3000M

NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro K3000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 2GB VRAM Quadro K3000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages
Released 5 years and 9 months late
Boost Clock1530MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (897.0GB/s vs 89.60GB/s)
4544 additional rendering cores
NVIDIA Quadro K3000M 's Advantages
Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 DGXS 16 GB +1981%
15.67 TFLOPS
Quadro K3000M
0.753 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
Jun 2012
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-B (3.0)

Clock Speeds

1327 MHz
Base Clock
-
1530 MHz
Boost Clock
-
876 MHz
Memory Clock
700 MHz

Memory

16GB
Memory Size
2GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
256bit
897.0GB/s
Bandwidth
89.60GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
576
320
TMUs
48
128
ROPs
32
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
512 KB
-
-
-

Theoretical Performance

195.8 GPixel/s
Pixel Rate
7.848 GPixel/s
489.6 GTexel/s
Texture Rate
31.39 GTexel/s
31.33 TFLOPS
FP16 (half)
-
15.67 TFLOPS
FP32 (float)
753.4 GFLOPS
7.834 TFLOPS
FP64 (double)
31.39 GFLOPS

Board Design

250W
TDP
75W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GV100
GPU Name
GK104
-
GPU Variant
N14E-Q1-A2
Volta
Architecture
Kepler
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
3.54 billion
815 mm²
Die Size
294 mm²

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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