Home GPU Comparison NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA Quadro K200M

NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA Quadro K200M

We compared two Professional market GPUs: 32GB VRAM Tesla V100 SXM2 32 GB and 1024MB VRAM Quadro K200M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 32 GB 's Advantages
Released 3 years and 7 months late
Boost Clock1530MHz
More VRAM (32GB vs 1024GB)
Larger VRAM bandwidth (897.0GB/s vs 12.80GB/s)
4928 additional rendering cores
NVIDIA Quadro K200M 's Advantages
Lower TDP (35W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 32 GB +4706%
15.67 TFLOPS
Quadro K200M
0.326 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
Aug 2014
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-A (3.0)

Clock Speeds

1290 MHz
Base Clock
-
1530 MHz
Boost Clock
-
876 MHz
Memory Clock
800 MHz

Memory

32GB
Memory Size
1024MB
HBM2
Memory Type
DDR3
4096bit
Memory Bus
64bit
897.0GB/s
Bandwidth
12.80GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
192
320
TMUs
16
128
ROPs
8
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
128 KB
-
-
-

Theoretical Performance

195.8 GPixel/s
Pixel Rate
3.400 GPixel/s
489.6 GTexel/s
Texture Rate
13.60 GTexel/s
31.33 TFLOPS
FP16 (half)
-
15.67 TFLOPS
FP32 (float)
326.4 GFLOPS
7.834 TFLOPS
FP64 (double)
13.60 GFLOPS

Board Design

250W
TDP
35W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GV100
GPU Name
GK107
-
GPU Variant
N14M-Q1
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

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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