QIoT介紹 物聯網雲平台 QBoat Sunny 新一代IoT Server QuAI 快速部署AI 應用

1. QNAP NAS打造私有雲平台
Your private IoT cloud platform
QNAP Systems, Inc.

2. QNAP QIoT
Your private IoT cloud platform
QNAP Systems, Inc.

3. IoT devices are everywhere,
Do you have the right SW
for that ?

4. Public Cloud
Private Cloud
Public Cloud VS Private Cloud
Publicly-shared
virtualized resources
Suitable for
non-confidential
information
Supports connectivity
over the Internet
Supports multiple
users
Paid for monthly or by
usage
Privately shared
virtualized resources
Suitable for confidential
information & core
systems.
Connectivity over
Internet, fiber and
private network
A cluster of dedicated
users
One-time cost

5. Don’t feel like paying continuously while
enjoying the benefit of IoT?
QNAP has a solution for you !

7. QIoT Container
Use containers to build a micro service architecture
QNAP Systems, Inc.

8. Install &Login
Lightweight app virtualization solution
Container Station supports a
lightweight virtualization. By
sharing the kernel with the host
system, users can apply this on
various cloud service platforms
that support Docker® without
installing the operating system.

9. Install &Login
Rich containerized apps
Container Station provides popular
and fully-configured applications with
just one click to deploy them.
Download any of the 45,000+
applications from our built-in Docker®
Hub Registry.
Simply search "IoT" in Container
Station, deploy proper containers,
and create diverse IoT applications
with QIoT Containers.

10. QIoT Suite Lite
Create your private IoT cloud platform
QNAP Systems, Inc.

11. QIoT Suite Lite
• Integrated Intelligent IoT Platform
• Ecosystem partnership model : Create win-win
• Key success Drivers:
✓Strategic Alliance Partners
✓SI with Domain Knowledge
✓Applications - driven
QIoT Suite Lite

12. Designed for the most Demanding Requirements
Stage 1. Data Collecting
• Sensors
• Devices
• Development Board
Stage 2. Data Processing
• Rules Setting
• Threshold
• Local Storage
Stage 3. Data Visualization
• Show Data in Charts & Tables
Applications

13. QNAP QIoT

14. Protocol & development board
• Support Protocol:
MQTT, MQTTS, HTTP, HTTPS and CoAP
• Quick set up :
Arduino Yun - Python
Raspberry Pi - Node.js
MTK 7688(Duo) – Python
Intel Edison - Node.js

15. 1
2
3
Smart Farm application
Data transmission
Generating reports
& taking actions
Analyzing Data
• Action can be taken in real-time.
• Operation efficiency.
Visualizing Reports
• Optimize farm management &
resource usage.
Data collecting
& processing

16. Friendly Interface
User Management control authentication,
establish secure connection
Current platform status

17. Rule Engine
Customized Node-RED
provides graphic interface
design

18. Transfer Data to Third Party Services
Push the collected data to Power BI for further
data analysis

19. Case Study - Indoor Air Quality

20. Various of products
✓Enterprise – Enterprise level NAS
✓ SMB - Thunderbolt NAS
✓ SMB – High level
✓ SMB – Middle level
✓ SMB – Entry level
✓ Home – High level
QIoT Suite Lite supporting list

21. • QTS system specifically designed for QNAP NAS, provides robust base
operating platform
• 24/7 storage, high expansion capacity, efficient operation
• Diversity of product options offering suitable solutions for different business
scale
Support IEI TANK

22. More QIoT application

23. QBoat Sunny
QBoat Ferries Your Versatile IoT Devices
to the World of Cloud Computing

24. First IoT Mini Server for Makers
● Compact size (12cm x 12cm)
● Affordable
● Easy to use
● Dual functions: a server and a gateway
● Saving costs of cloud services
● Suitable for small-scale IoT systems
● Can be scaled up to a large IoT system
● Flexible network configuration
● A rich variety of application from App
● Center in the QTS Lite
● Support LXC/Docker containers

25. QBoat Sunny in the IoT Ecosystem
Nodes
IoT LAN
LAN
Rule Engine
Web Server
● Big Data Analysis
● Deep Learning/AI
● Database Mgmt
Medium to Large IoT system Smaller IoT System
Gateway/Server
Msg Broker
Basic Data Storage

26. QBoat Sunny – Small But Powerful
2GB DDR3 RAM
(4x 512MB)
12cm
AL314 4-Core ARM
A15 CPU @1.7GHz
12cm
512MB NAND Flash

27. QBoat Sunny – Small But Powerful
RTC BAT
3x GbE Ports
2x USB 3.0
Debug Console
m.2 PCIe A key slot for
Wi-Fi
Audio In/Out
12V Power Input
SSD slots for RAID0/1
2x 2280/2260 m.2 SATA
Fan Connector
LED Indicator
Reset Button
Power Button

28. QBoat Sunny Software Features
●All new QTS Lite operating system
●Professional storage management system
●Supports qpkg software ecosystem
●Supports Container Station/QIoT Container
●Supports QIoT Suite Lite
●Advance network management through the built-in
Network & Virtual Switch app
●Supports Hybrid Backup Sync
●Remote management via myQNAPcloud

30. AI
Artificial Intelligence
DL
Deep Learning
ML
Machine Learning
AI/ML/DL: the buzzwords…
Deep Learning is a branch
of machine learning that
involves layering
algorithms in an effort to
gain greater understanding
of the data.
Machine Learning is a
collection of algorithms that
can learn from and make
predictions based on recorded
data, optimize a given utility
function under uncertainty,
extract hidden structures from
data, and classify data into
concise descriptions.
Artificial intelligence is a
branch of science which is
into making machines
think like humans.

31. Ride the AI wave with "QuAI" from QNAP
QuAI
+ =
QuAIAI QNAP NAS
AI Developer Package
Is intended for data scientists and developers to quickly build, train, and
optimize their AI Models on QNAP NAS.

32. Pain points for data scientists
1. Using laptops/desktops to develop their model, but storage and computing resources
are limited. A workstation with GPU and storage is needed to train / validate their
model.
2. Lack of knowledge to setup NVIDIA GPU drivers, containers, GPU passthrough, etc.
3. Lack of knowledge to setup data backup/sharing, network configurations, etc.
FUTUREPAST

33. AI Development with QuAI
Build Train Tune Deploy

34. QuAI with GPU Accelerated Computing
• Fuel QuAI development with GPU-accelerated computing.
• QNAP NAS integrates the capabilities of a PCIe graphics card
into QTS and in-turn to Container Station.
• With the power of modern graphics cards in QNAP NAS,
performance of AI modeling can be greatly boosted.

35. QuAI Architecture
QuAI
Containers
GPU Card
CNTK MXNet TensorFlow Caffe
QTS 4.3.4
QNAP NAS + GPU
Container Station

36. Supports multiple frameworks/libraries

37. Install and run QuAI from App Center inside QTS

38. Insert a compatible* graphics card into NAS

39. Install Graphics Card Drivers

40. Set GPU Allocation to QTS
Resource allocation
For the GPU to be used with QTS, NVIDIA GPU
Driver needs to be installed from App Center.
Single
selection only!

41. Create required framework containers in
Container Station
1
2
3

42. Why QNAP NAS for AI?
Low investments and
high gains
• Relatively lower total cost of ownership,
compared to workstations.
• One time cost against complex billing
model of public cloud platforms.
• Higher cost efficiency with QNAP NAS.
It's FAST, it's EASY and
It's QuAI
• QuAI helps setup AI environment in few quick
and easy steps.
• Provides an advanced wizard for quick GPU
configurations.
• It takes just few minutes, against few hours on
workstations.

43. Why QNAP NAS for AI ?
Designed to manage huge data
• Unique and most sophisticated storage management
capabilities with new Storage and Snapshots Manager.
• Provides almost unlimited storage.
• Qtier identifies hot and cold data through self-learning based
on data access frequencies.

44. Why QNAP NAS for AI ?
High IOPS
Accelerate IOPS performance for
your IOPS-intensive AI applications
with QNAP’s SSD cache
technology.
SSDs
Hot Data
HDDs
Cold Data

45. Why QNAP NAS for AI?
Multiple layers of data protection
Built on the security first principal to
minimize the risk of data breaches with
multiple data protection mechanisms, and
user privilege controls.

46. Why QNAP NAS for AI?
QTS 4.3.4
QNAP NAS with QTS, the most stable, robust,
comprehensive and Intelligent operating
system, is a strong foundation for your AI
applications and training frameworks.

47. Why QNAP NAS for AI?
Availability of Huge Training Data:
Leverage huge and diverse data which is readily available from huge range of
QNAP NAS applications to train your AI Models.
QuAI Deep Learning Model

48. Supported Models and System Requirements
TS-x77
System Requirements:
QTS 4.3.4 and above; Container Station v1.8 and above
Supported Graphics Cards: (TBD)
NAS Models
Brand Model
ASUS DUAL-GTX1050-O2G-GAMING
ASUS GPH-GTX1050-2G
ASUS PH-GTX1050TI-4G
ASUS PH-GTX1060-3G
EVGA GTX1050 2G SC
EVGA GTX1050TI 4G SC GAMING
EVGA GTX1060 6G SC GAMING
GIGABYTE GV-N1050TD5-4GD
GIGABYTE GV-N1070IXOC-8GD
Brand Model
MSI GTX1050 TI 4GT LP
MSI GTX1060 6GT OCV1
MSI GTX1060 AERO ITX 3G OC
NVIDIA Quadro M2000
NVIDIA Quadro P2000 5G
NVIDIA Quadro P4000

49. Thanks for
your attention!

50. QuAI
Machine
Learning
Deep learning
Predictive Analysis
NLP
Translation
Classification and
clustering
Information extraction
Speech
Speech to text
Text to Speech
Robotics Vision
Image recognition
Machine vision
Applications of QuAI