Home GPU Comparison NVIDIA Quadro K2000M vs NVIDIA Tesla V100 FHHL

NVIDIA Quadro K2000M vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 2GB VRAM Quadro K2000M and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K2000M 's Advantages
Lower TDP (55W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
Released 5 years and 9 months late
Boost Clock1290MHz
More VRAM (16GB vs 2GB)
Larger VRAM bandwidth (829.4GB/s vs 28.80GB/s)
4736 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K2000M
0.572 TFLOPS
Tesla V100 FHHL +2209%
13.21 TFLOPS
VS

Graphics Card

Jun 2012
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
937 MHz
-
Boost Clock
1290 MHz
900 MHz
Memory Clock
810 MHz

Memory

2GB
Memory Size
16GB
DDR3
Memory Type
HBM2
128bit
Memory Bus
4096bit
28.80GB/s
Bandwidth
829.4GB/s

Render Config

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

Theoretical Performance

5.960 GPixel/s
Pixel Rate
165.1 GPixel/s
23.84 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
572.2 GFLOPS
FP32 (float)
13.21 TFLOPS
23.84 GFLOPS
FP64 (double)
6.605 TFLOPS

Graphics Processor

GK107
GPU Name
GV100
N14P-Q3-A2
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
1.27 billion
Transistors
21.1 billion
118 mm²
Die Size
815 mm²

Board Design

55W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin

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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