Home GPU Comparison NVIDIA Quadro K4000M vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro K4000M vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 4GB VRAM Quadro K4000M 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 K4000M 's Advantages
Lower TDP (100W vs 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 7 years and 5 months late
Boost Clock1597MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (1133GB/s vs 89.60GB/s)
4160 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K4000M
1.154 TFLOPS
Tesla V100 SXM2 16 GB +1316%
16.35 TFLOPS
Blender
Quadro K4000M
94
Tesla V100 SXM2 16 GB +2487%
2432
OctaneBench
Quadro K4000M
20
Tesla V100 SXM2 16 GB +1670%
354
VS

Graphics Card

Jun 2012
Release Date
Nov 2019
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 3.0 x16

Clock Speeds

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

Memory

4GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
89.60GB/s
Bandwidth
1133GB/s

Render Config

-
-
-
-
SM Count
80
960
Shading Units
5120
80
TMUs
320
32
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
6 MB
-
-
-

Theoretical Performance

12.02 GPixel/s
Pixel Rate
204.4 GPixel/s
48.08 GTexel/s
Texture Rate
511.0 GTexel/s
-
FP16 (half)
32.71 TFLOPS
1154 GFLOPS
FP32 (float)
16.35 TFLOPS
48.08 GFLOPS
FP64 (double)
8.177 TFLOPS

Board Design

100W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
None

Graphics Processor

GK104
GPU Name
GV100
N14E-Q3-A2
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
21.1 billion
294 mm²
Die Size
815 mm²

Graphics Features

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

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