Оптимизированные решения huawei и … for mfti v1.pdfВклад в r&d...
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Оптимизированные решения HUAWEI
и эффективные дата-центры ИИ
Boundless Computing Inspires an Intelligent World
Михаил Плескунин
+7(985)765-54-40
170+Стран
70Рейтинг в списке
Fortune Global 500
180,000сотрудников
36Совместных
инновационных центров
16НИОКР
центров
80,000НИОКР
сотрудников
Вклад в R&D
Входит в первые 10 компаний,
инвестирующих в НИОКР
Более
50 млрд долл. СШАЗа последние 10 лет
180 000 сотрудников:
45% являются инженерами в НИОКР
Объем инвестицийс 2008 по 2017 (млрд. долл. США)
1.62.1
2.73.8
4.85.2
20172008 2009 2010 2011 2012 2013 2014 2015 2016
6.6
9.2
11.0
13.8
Юг
Центр
Северо-запад
Поволжье
Сибирь
Дальний восток
Урал
Huawei в России – 20 лет
Головной офис
Центр обучения
Региональный офисЦентр поддержки
Центр разработок
10 региональных офисов
Инновационный центр
2000+ Сотрудников2 Центров разработок1 Центр инноваций
1 Центр обучения5 Сетевых академий (20 до 2020)2 Центра поддержки58 Складов зап. частей
СОТРУДНИКИ ОБУЧЕНИЕ И ПОДДЕРЖКАОФИСЫ РАЗРАБОТКА
Consumer Products & Services
Iconic global technology brand
Carrier Products & Services
Best strategic partner for carriers
Enterprise Products & Services
Enabler and preferred partner for digital transformation
A Global Leader in ICT Products and Solutions
Information Distribution & Presentation Information Transmission Information Storage & Processing
Data center infrastructure
Big data analytics
AI platforms
Global carriersHundreds of millions of consumersGlobal enterprises, government, and
industry
ICT Solutions and Services for Three Customer GroupsInformation Distribution & Presentation, Transmission, Storage & Processing
Managed services and system integration
Cloud Products & Services
Cloud partner with reliable, trusted, evolvable services
Cloud services
gPaaS
Cloud OS
Smartphones
MBB & home appliances
Wearables
Vehicle devices
Wireless networks
Fixed networks
Carrier software
Core networks
Enterprise networks
IoT connection management
Infrastructure
Hardware devices
System environment
Cluster management
Industry applications
Service
Capabilities
Focus on HPC Hardware Platforms and Infrastructure
Data center Liquid cooling infrastructure
Compute Storage
BladeHigh-
densityFat
nodeNVMe SSD
FPGAFile
storage
Convergedstorage
Network
IB switch
OPA switch
Operating systems
WindowsSUSE, Cent OS,
Red HatFusionSphere
File systems
NFS Lustre GPFS
Monitoring/Scheduling/Web portal
BCMIBM
Platform
Runtime library environment
MPI OpenMPIMVAPIC
H2PBS
Works
Ext3, ext4, XFS
Grid Engine
Manufacturing
FLUENTPAM-
CRASH
Life science
BLAST Gaussian NAMDSTAR-CCM+ Oil & gas
exploration
Halliburton
Schlumberger
Meteorology
WRF MM5
Power supply devices
Modular equipment room
Liquid coolingservers
Liquid cooling cabinet
Solution design
Application tuning
System deployment
Training and O&M
Joint innovation
Huawei HPC Platform
Huawei HPC Platform - FusionServer V5 Series Servers
Multi-Node Server Blade Server Rack Server
Supports SKU with integrated OPA All-flash acceleration
Converged architecture with network
switching EDR IB & OPA 100G
4 CPUs on a single node, with simplified
network solution Balance between compute density and
power consumption loads
X6000 2U 4-node
E9000 12U multi-node
2488 2U 4-socket
Fat Node Server Heterogeneous Server
Multi-core compute on a single node Massive in-memory computing
Supports multiple CPU:GPU ratios Fully modular design
KunLun
8- to 32-socket
GPU-accelerated server, 4U rack+
Bas
ic P
latf
orm
Exte
nd
ed P
latf
orm
Supports full series of
Intel® Xeon® Scalable processors
Board-level liquid cooling, PUE ≤ 1.1
Green and energy-saving
Supports rear-access aggregated
management network port
Simplifies cablingSupports 2 kW/3 kW PSUs and power capping
TDP = 205 W CPU
Supports EDR IB & OPA standard
cards
High-speed interconnect
Supports 2.5'' NVMe SSDs and 3.5'' HDDs
Suitable for different acceleration scenarios
4 x 1U rack servers
=
X6000 High-Density Server - Fully Upgraded with New Features
XH321 V5 Half-Width Dual-Socket Compute Node
Up to 72 Nodes in a Single Cabinet
New
features!
Supports SKU with integrated OPA
Boost cluster performance
1 x 2U X6000
• 2 full-series Scalable Processors, 16 DDR4 DIMMs
• 6 x 2.5'' NVMe SSDs or 3 x 3.5'' HDDs + 2 x M.2
SSDs
• 2 x GE + 2 x 10GE LOM ports, 2 PCIe x16 slots
• Supports air cooling or liquid coolingLiquid
cooling!
Rich Compute Node Types
E9000 Blade Server - Converged Architecture Computing Platform
All-flash compute nodeCH225 V5: full-width, 12 NVMe/SAS/SATA HDDs/SSDs
Balanced compute nodeCH121 V5: half-width, 2 Scalable Processors
Powerful Integrated Switch
Capabilities
• Available in two form factors: half-
width and full-width
• Supports CPU, GPU, and all-flash
accelerated compute nodes
• Integrated IB EDR/OPA and Ethernet
high-speed switch modules
• 32T passive midplane switching
capacityStorage
Compute Network
Mgmt
GPU-accelerated compute nodeCH221 V5: full-width, 2 dual-slot GPUs
CX620 100G IB EDR
Switch module
CX320 10GE/40GE
Ethernet switch module
CX820 100G OPA
Switch module
Advantages of E9000 Blade Nodes and Chassis
• 12U chassis, supporting up to 16 half-width
or 8 full-width compute nodes
• Supports compute, storage, and GPU nodes
Half-width slot
Full-width slot
Mgmt
module
Switch
module
PSU
Fan
module
CH121 V5 Half-Width 2S Blade
• Fully modular design
• Redundancy design for key
modules:
• Management modules
support 1+1 redundancy
• PSUs support N+N
redundancy
• Fan modules support
N+1 redundancy
Support Long-Term Evolution Chassis
Capabilities
• 2 full-series Scalable Processors, 24
DDR4 DIMMs
• 2*2.5”NVMe SSDs• 1 PCIe x16 slot, supporting air cooling or
liquid cooling
CH242 V5 Full-Width 4S Blade
• 4 full-series Scalable Processors, 48 DDR4 DIMMs
• 4*2.5”NVMe SSDs• 1 PCIe x16 slot
Newproduct!
Liquid cooling!
Brand New Blade Nodes
Integrated
high-speed switch!
• FusionServer G2500
Super Intelligence
• Supports up to 16 NVIDIA® Tesla® P4 in a 4U chassis
• Provides 256-channel intelligent video analytics of
people/vehicles/things
Ultra-Large Storage
• Supports 24 x 3.5'' hard drives, up to 240 TB
• Enables massive data storage and real-time
information retrieval
Edge Deployment Capability
• Supports 55°C working temperature
• 675 mm deep chassis, supporting installation in short cabinetsSafe citySmart
transportation
Facial
recognition
• FusionServer G5500
Outstanding Heterogeneous Computing Performance
• Supports 8 V100 training or 32 P4 inference accelerator cards
• GPUDirect RDMA, P2P, and NVLink interconnects
One-Click Switching of Heterogeneous Topologies
• One-click topology switching for AI and HPC
• Supports diversified applications and reduces hardware
investment
Fully Modular Architecture
• Decoupled design for CPU and heterogeneous resources,
supporting long-term technology evolution
• Efficient heat dissipation designAI HPC Cloud GPU
acceleration
• 8 V100/P100/P40/P4
GPU cards based on
PCIe
G5500 half-width model
1 chassis, 3 types of compute nodes, and 4 types of heterogeneous nodes
G5500 full-width model
G530 V5 half-width dual-socket
compute node
• 8 V100 GPU cards
based on NVLink
• 4 V100 or 8 V100 GPU cards
(150 W)/P4 based on PCIe
G560 full-width dual-socket
compute node
• 16 P4 GPU cards
based on PCIe
New
New
G560 V5 full-width dual-socket
compute node
GP608
heterogeneous node
GS608
heterogeneous node
GP308
heterogeneous node
GP316
heterogeneous node
G5500 Product Portfolio
KunLun 32S Fat Node Computing Platform— Ushering in a New Mission Critical Server Era
KunLun Fat Node Computing Platform
• Scale-up
• Fault-tolerant
• Failure Analysis
Engine
• Underlying feature
security
32S/576C, 32 TBElastically scale-up
architecture
RAS 2.0Open platform with the
highest-level reliability
NC Interconnect
ChipManagement Chip
Stability and ReliabilityUltimate Performance
KunLun Platform - Large-Capacity In-Memory Computing with Low Latency
Cores
Shared memory
Cores
Shared memory
Cores
Shared memory
Cores
Shared memory
…
Inner-server interconnect Shared memory
Inner-server interconnect
…NC interconnect chipCores
Up to 8 CPUs per system
Milliseconds of latency for inter-server
data transmission, including latency from
CPU processing, NIC processing, and
link transmission
KunLun 9032 supports 32 CPUs in a single
system, with 576 compute cores and memory
of up to 24 TB
CPU high-speed network reduces data
transmission latency to nanoseconds,
enabling faster service response
Prefabricated Data Center
• Cabinet-level deployment, taking only
2 hours to install onsite
• 1–6 cabinets, supporting HPC
systems of 10 to 100 TFLOPS
All-In-Cabinet Small-Sized HPC All-In-Room Medium- to Large-Sized HPC
FusionModule500
FusionModule800
All-In-Container HPC
• Supports single- or double-row
confined cold/hot channel deployment
in an equipment room of 500 m2 or
less
• 2–48 IT cabinets, supporting HPC
systems of 100 TFLOPS to 1 PFLOPS
• Factory prefabricated, pre-verified, and
onsite delivery, reducing deployment
cycle by 80%
• 8 IT cabinets, supporting HPC systems
of 10 to 100 TFLOPS
FusionModule2000
Single row
FusionModule1000A
Double rows
University of Nebraska
University of Tennessee
Digital Domain Company
Macao Meteorology Bureau
Singapore Global Foundries
Singapore Institute of Science
and Technology Research
Philippines Meteorology Bureau
(phase 1)
Singapore A-Star
University of Victoria
The University of Queensland
Deakin University
CASSAC Observatory in Chile
Brazil Mckinsey University
Cuba oil CUPET
Venezuela PDVSA
Ministry of water resource, Mexico
Ministry of Agriculture, Mexico
ULAKBIM
Yildiz Technical University (YTU), Turkey
Istanbul Technical University (ITU), Turkey
Harran University, Turkey
Yeditepe University, Turkey
Turkish Petroleum (TPAO)
China
Europe
Asia Pacific
North America
Latin America
Central Asia
Saudi Arabia MOI
Africa
Middle East
Zimbabwe Ministry of
Higher Education and
Technology
Development
South Africa CHPC
Institute of Disaster
Prevention, China
Meteorological
Administration
Environmental Protection
Bureau, Hebei Province
Beijing Institute of Data
Communication
Beijing Jiaotong University
Beijing University of
Aeronautics and
Astronautics
Southwest University
Capital Medical University
China Electric Power
Research Institute
China Meteorology Bureau
Shanghai Observatory
ZhongXin Biotechnology
Shanghai
Bureau of Geophysical
Prospecting INC.
Tsinghua University
Beijing Genomics Institute
BGP
UK Newcastle University
Imperial College London
University of Hamburg,
Germany
University of Lubeck,
Germany
University of Burgos, Spain
Illumination Mac Guff
Daimler Mercedes-Benz,
Germany
German IIya Ehrenburg
Netherlands Deltares
Italy CNR
University of Warsaw, Poland
Poland PCSS
University of Gdańsk, Poland
University of Silesia, Poland
Poland Cyfronet
Poland Qumak University
Saint-Petersburg State
University, Russia
HPC Installation Experience in Industries Worldwide
Compute Canada GP3Graham SuperComputing Cluster
(Sharcnet / University of Waterloo)
# 95
Rank
• High-density Servers
• Storage, Switches, Management systems
• 30+ Cabinets
• Liquid cooling
• 33,000 compute cores
• 1,228 TFLOPS (1.2 PFLOPS)
Graham HPC Cluster @ UWaterloo: Overview
ARM Ecosystem Goes Towards 100B Level
22 Years
4 Years
4 Years
1st 50 Billion ShipmentEmbedded
2nd 50BEmbedded, mobile
Next 100B+AI, IOT, Data Center
Source: ARM
20171991 2013 2021
2008 20192014 20162005
1st ARM
wireless base
station
1st 64-bit
server class
ARM CPU
1st ARM CPU
supporting
multiple sockets
1st ARM CPU
powered by AI
(Under planning)
1st ARM
mobile CPU
1st ASIC chip for
optical networks
TaiShan Server Highlights
Energy-efficient computing
High-performance Huawei ARM processors deliver the same
performance as that of x86 E5-2650 v4 using 20% less power.
Huawei's own chips
Huawei's own suite of compute, storage, transmission, and
management chips, underlying system-level design
CPU
Optimized for distributed computing
application workloads
Many-core computing architecture, suitable for parallel
computing scenarios such as big data analysis, distributed
storage, ARM cloud service, and HPC
Compute-storage balanced
Typical scenario: big data analytics
TaiShan Server — Various Specifications to Meet Diversified Requirements
Product TaiShan 2280 TaiShan 5280 TaiShan X6000
Form Factor 2U 2-socket rack server 4U 2-socket rack server 2U with 4 x 2-socket nodes
Processor 2 HiSilicon Hi1616 processors (16 nm/32 cores/2.4 GHz)
Memory 16 DDR4 DIMM slots
Local StorageConfiguration 1: 16 x 3.5-inch drives
Configuration 2: 27 x 2.5-inch drives40 x 3.5-inch drives 24 x 2.5-inch drives
LOM Network Ports 2 x GE electrical ports + 2 x 10GE optical ports
PCIe Expansion Up to 5 PCIe 3.0 x8 slots Up to 2 PCIe 3.0 x8 slots
Storage-intensiveTypical scenario:
distributed storage
Compute-intensiveTypical scenario: HPC
Ever-Improving Proprietary Processor Competitiveness for Mainstream
Applications in Data Centers
Hi1612 32 cores/2.1 GHz/16 nm
Hi1616 32 cores/2.4 GHz/16 nm
• Huawei-developed cores, 2- and 4-socket
interconnects
• 8 DDR4 2933 MHz memory channel
controllers
• Integrates I/O functions such as 25GE,
100GE, PCIe 4.0, and CCIX
• ARMv8 architecture, 2-socket interconnects
• 4 DDR4 2400 MHz memory channel
controllers
• Integrates I/O functions such as 10GE,
SAS/SATA, and PCIe
• ARMv8 architecture
• 4 DDR4 memory channel controllers
Hi162032 & 48 Cores/2.6 GHz/7 nm
Entry-level performance Mid-range performance High-end performance
• Big data analytics
• Distributed storage
• HPC
• In-memory database
• Big data analytics
• Distributed storage
• ARM cloud service
• Web application
• ARM cloud service
• Web application
• ARM cloud service
• Web application
Brings Valuable Solutions by Innovation on Silicon
Hi 1822
Smart Network
Controller
BMCSSD Controller
Hi1812 Hi1822 Hi1710
Computing
ARM 64bit CPU
Hi16XX
Storage Networking Management
Node
Controller
CPUBMC
NIC
controller
SSD
controller
NC
interconne
ct chip
CPU CPU
CPU
CPU
Storage/Network etc.
I/O controller chips
Server
management
chip
ARM CPU
1
2 3
4
1 2 3 4
Equivalent Performance with Better Efficiency
• Data reported by Huawei lab benchmark tests
Computing efficiency comparison
• Hi1616 provides equivalent computing performance
and better computing efficiency
• Hi1620 provides higher computing performance and
60% higher computing efficiency85w
105w
150 w 150w
Hi 1616 E5-2650 v4 Hi 1620 SkylakeGold 6148
CPU TDP Power
1 X1,04 X
1,9 X
3,02 X
E5-2650 v4 Hi 1616 SkylakeGold 6148
Hi 1620
CPU SPECINT Performance
60%
20%
Supreme Reliability
• Multiple measures to ensure 99.999% availability
• Key chips of the computing platform being
developed by Huawei, ensuring secure and reliable
data storage
Ultimate Performance
• In-depth optimization of software and hardware
based on application scenarios
• Huawei-developed high-performance SSDs,
delivering industry-leading IOPS and latency
Easy to Deploy and Scale
• Wizard-based deployment, simple and quick
• Capacity expansion by drive, node, cabinet, or
resource pool
New AppsTraditional
Apps
Object Storage ServiceFile Storage ServiceBlock Storage Service
TaiShan Platform
FusionStorage
iSCSI SCSI NFS CIFS FTP HDFS NDMP S3/Swift
OpenStack
TaiShan supports FusionStorage block storage.
TaiShan+FusionStorage Distributed Storage Solution
Huawei IT Data Center: Support for the Huawei R&D, Production,
and Office Clouds
FusionStorage
FusionSphere/FusionStageCompute
Storage
TaiShan
500 servers
730 servers
DCDC
DC
DC
DC
R&D
Terminal
mobile phone
simulation
HiSilicon
chip EDA
simulation
SVRP
simulation/storage
simulation
Production/office services
Tomcat/MySQl/Zabbix/PHP/JVM
doubled
1.45 million kWh
Huawei IT
Data Center
• Deployed 1,230 TaiShan
compute/storage servers
• Provides 18,000+ hard drives with a total
of 72 PB data capacity
• Allows for access of 75,000 R&D usersTaiShan
Microsoft Azure Data Center: Use TaiShan Servers to Support
Three Types of PaaS Service
• Deployed 200 TaiShan storage servers
• Based on CentOS and Windows Server
• Provides three types of PaaS services
storage, search, and Big Data
Storage service Bing search Big data
Shanghai
DC
Deploy TaiShan-based Azure cloud
infrastructure in Shanghai DC
Hatch Gaming Cloud: The Annual Revenue Is Expected to Double Thanks to the Cloud Gaming Community Service
Business model: The gaming social platform is
moved to cloud, and user data generates value.
Precise advertisement pushing and subscription
bring sustainable revenue sources.
• Average number of active users every day:
100M• Revenue from commercial advertisement
push: USD8/1,000 users• Daily revenue: USD800K• Annual revenue: 292M$ (142M€ in 2015)
Data source: Hatch
• Deployed 100 TaiShan compute servers
• Performance 4x that of x86 servers
• The system has been running stably for more than
one year after the system went live.
Railways
Iron steamship
Internal combustion
engine
Electricity
9000 BC~1000 AD 15th ~18th Century 19th Century 20th Century 21st Century
Multiple uses across the economy Many technological complementarities and spillovers
Domestication of plants
Domestication of animals
Smelting of ore
Wheel
Writing
Bronze
Iron
Water wheel
Three-masted sailing ship
Printing
Factory system
Steam engine
Automobile
Airplane
Mass production
Computer
Lean production
Internet
Biotechnology
Business virtualization
Nanotechnology
Artificial intelligence
(A set of technologies)
Public safety
• Safe City
• Intelligent transport
• Disaster prediction
Education
• Personalization
• Attention improvement
• Robo teacher
Healthcare
• Early prevention
• Diagnosis assistance
• Precision cure
Media
• Real-time translation
• Abstraction
• Inspection
Logistics
• Routing planning
• Monitoring
• Auto sorting
Finance
• Doc process
• Real-time fraud prevention
• Up-sell
Pharmacy
• Fast R&D
• Precise trial
• Targeted medicine
Insurance
• Auto detection
• Fraud prevention
• Innovative service
Retail
• Staff-less shops
• Real-time inventory
• Precise recommendations
Manufacturing
• Defect detection
• Industrial internet
• Predictive maintenance
Telecom
• Customer service
• Auto O&M
• Auto optimization
Agriculture
• Fertilization improvement
Remote operation
• Seeds development
Oil & Gas
• Localization
• Remote maintenance
• Operation optimization
Leaders
Managers / Experts
Junior Managers / Senior Professionals
Junior Employees
Managers / Experts
/ Data Scientists
Junior Managers / Senior Professionals
/ Data Science Engineers
Leaders
Junior Employees
business and academic events in 2018
Speech recognition: On par with
machine learning papers in 201720k
# of AI papers keeping up with Moore’s law in past 8 years
Object detection: Outperforming humans
humans
Translation: Approaching humans
countries with national AI plans22+
253+new AI startups in 20171,100+
AI-related M&As in 2017US$24 bn
AI-related VC investments in 2017US$14 bn
of B2B companies employ AI to augment sales processes
of enterprises have invested in or deployed AI4%
of retailers have invested in and deployed AI
of higher education institutions use AI to augment experience
of smart city implementations are using AI
of customer service operations integrated virtual assistants in 2017
of consulting and SI service projects were AI-related in 2017
of smartphones with AI capabilities in 2017
of B2C/B2B2C apps in China include AI in 2018
– Available AI talent vs. Global demand1%
~2%
5%10%
~5%
4%
2%
~10%
~10%
Inspiring opportunities we see
To BeAs Is
AI: Mostly in cloud, some at the edge
10 changes that will shape the future
Today’s basic algorithms invented before the 1980s
No labor, no intelligence
Models perform better in tests
Updates not in real time
Inadequate integration with other technologies
Only highly-skilled experts can work with AI
Scarcity of data scientists
Training in days or even months
Scarce & costly computing power
Pervasive AI for all scenarios. Respects and protects user privacy
Data and energy-efficient, secure, and explainable algorithms
Automated / semi-automated data labeling
Industrial-grade AI, perform excellently in execution
Real-time, closed-loop system
Synergy between AI and cloud, IoT, edge computing, blockchain, big data, databases, etc.…
AI as a basic skill, supported by one-stop platforms
Data scientists + Subject matter experts + Data science engineers
Training in minutes or even seconds
Abundant & affordable computing power
4 Billion Internet Users8 Billion Mobile Users
100 Billion IOT connections
1.7GB Data /people-day
3000 Billion US$ of mobile
payment
5G
AR/VR
SDN
IOT
Autopilot
Cloud
• Precise Network Control• Expert-Level Automatic O&M
•Low Latency Network•Cloud Real-Time Decision Making
• Edge Computing• Intelligent Network Slicing
•High Throughput(50Gbps/Site)•Low Latency(1ms)
• Whole Network Real Time insight• Intelligent Defense Against Risk
2025
• Smart Cache on Edge• Low Jitter Network
5G
SDN
IoT
AR/VR
Autopilot
Cloud Security
AI will Be Applied in Huawei's Future Business
Personal Devices: A New Round of Innovation is Coming…
After 2019
Intelligent phonesIntegrating real + digital
1983
First mobile phones
1995
Feature phones:Voice + text
Digit
2007
SmartphonesApp-based
services
Analog Mobile Internet Smart Internet
Two major innovations: Active sensing of the real world; interactive engagement and proactive services.
AI and natural interaction transform user experience.
AIPhysical world
Natural interaction
Brain wave
Digital world
Touch
Voice
Visual CognitionSensing
VR/AR
Mouse
New technologies drive transformative changes.
Communication
User experience
Camera
BatteryChips
Design
ID
AI
First AI Processing Core in Mobile (Kirin with NPU)
AI App
Framework
Library
ML acceleration API library for NPU on
mobile phone
Each API will be implemented by calling
ML OS library
Mobile OS assign different tasks to drivers
of physical Chips (NPU, GPU, CPU, etc)
NPU (Neural Network Processing Unit)
AI Camera: Simple & Fast for Best Picture
Consumer Experiences
Smart camera assistant
Preview real-time identification of ten scenesAutomatic adjustment of professional parameters
Successful Practices of HUAWEI CLOUD EI
iPower
30X of Data Analysis Efficiency Within One Target Area
iLogistics iTransporation
50X of Delivery Capability per Vehicle through HUAWEI EI Path Optimization Service
1.3X of Vehicle Traffic Flow
Intelligent logistics Solution Panorama - Internal
SupplierHong Kong.
Raw material warehouseCountry-level warehouseSupply Center Site/CustomerCustomsPort
International transportation Last 1 km
The factory /EMS Intermediate transit point
Local distribution
Manage customs clearance servicesWarehouse management
(China)
Transportation&Shipping management (in China)
P/L
Material management
Delivery Management
P/L Monitoring
Warehouse management
(For server rooms outside China, country warehouse)
Transportation management
(Overseas)P/L Transport
solution
P/LProcessing forecast
Material preparation
forecast
Warehousing plan
Optimization of positions
Picking instruction
Document Identification
The customs compliance check
Classification of imported or exported
materials
Document Identification
Distribution plan
Goods quantity based on
estimation
Estimated Packing
It is recommended that the transport
route
Path optimization
Transport resource capability analysis
Transportation cost estimate.
Bid Risk Warehousing plan
Intelligent packing
Document Identificatio
n
Path planning
Exceptional expenses
30 %.
The packingrate
Increasedby 15%
Import efficiency
10X
Risk early-warning rate
99 %.
Operation efficiency
10%
Intelligent logistics service application – Results
Library XX disease
Diagnostic Screening
Disease factor analysis
Chronic disease management
Application and treatment.
Survival, and its prognosis.
HIS CIS EMRHand hemp.
..
The service bus
HL7 engine
Patients with uniform flag.
Structured Unstructured documents
Access controlRepository
engine
Dictionary service
Semi-structured documents.
Privacy protection
PACS
Drug research
Assists Clinic
Correlation analysis
Fuzzy clustering
algorithm and category
PredictionAnomaly detection
Medical service quality
managementMedical Research
Based on the medical data, analysis of disease, symptoms, relationships between departments and build a big data application
Application of correlation analysis
Disease star charts
Intelligent guiding
High blood
pressure.
Department of Cardiovascular Medicine (43%)Cardio-cerebral surgery (37%)
Internal Medicine (6%)
Others (4%)
Auxiliary diagnosis
High blood
pressure.705 Keywords
coronary heart
disease876
Indigestion.1492
Precordial pain
Shortness
Abdominal
distentionLeft
shoulder pain
I cann't sleep
Tinnitus
Fatigue
I have a headac
he.
Constipation
— — health data has widely application prospect, disease screening, diagnosis, prognosis and epidemic analysis, management optimization
Huawei and Phillips are enabling the Digital Health Solutions in China
BSI-сенсоры и собственные чипы обработки Huawei со специально разработанными программными алгоритмами
Серия камер Huawei H.265 с высокой светочувствительностью
BSI CMOS удваивает светочувствительность
ИИ в системах безопасности
Видеосинопсис
Система быстро анализирует архивную запись за определённый период времени по одному видеоканалу и выдаёт “видеосинопсис” – все
детектированные по определённым критериям объекты в одном кадре или коротком видеоролике. Найденная выборка может быть
подвергнута повторному отсеиванию по новым аналитическим критериям.
1 hours
5 minutes
Интеллектуальная фильтрация и поиск по критериям
Увеличение эффективности многофакторного поиска и фильтрации результатов с помощью
моделирования фона и анализа метаданных
Анализ
Мо
дел
ир
ован
ие
фо
на
Исходное видео
Фоновое изображение
Передний план (движение)Проверка типа объекта – ТС
или пешеход
Ручная фильтрация
Ан
али
з м
етадан
ны
х Цветовые параметры Результат в видео списка
Охранные видеоаналитические алгоритмы
Анализ и отслеживание объекта наблюдения в реальном времени с автоматическим превентивным оповещением оператора при фиксации подозрительного поведения согласно
заданному критерию проверки
Вторжение в зону
Обнаружение праздношатания
Подсчёт людей
Пропавший объект
Детекция слишком быстрого движения
Оставленный объект
Движение в запрещённом направлении
Детекция образования толпы
Прорисовка маршрута движения
Пересечение виртуальной линии
20
2035 40 45
5555 60
6065 65 70 75 80
5535 25
4535 30 25
15 20 20 20 15
10101010101010
10252015
India
5
South Korea
5
Japan
5 5
Sweden
5
Germany
5
5
55
China
Singapore
5
5
5
Netherlands
Belgium
UK Italy
France
USA
5
5
5
New mobility formats have high acceptance specifically in Singapore, China and India
Mobility behavior: Mobility usage as a percentage of distance driven
"Think about the last couple of weeks, what % of distance (miles or kilometers) driven did you useCar sharing, ride hailing, taxi vs. Public transport vs. Own car/a car of a friend vs. other?"
Demand-driven modes (like car sharing, ride hailing, taxi)
Public transportation
Private car
Other
Participants by country: Belgium 1,019; China 1,033; France 1,025; Germany 1,039; India 1,019; Italy 1,017; Japan 1,016; Netherlands 1,006; Singapore 1,009 ; South Korea 1,007; Sweden 1,048; UK 1,015;
Ratio of shared vehicles by far highest in Singapore and China –All other regions with very low demand for share new vehicle
Amount of shared vehicles: Share of shared vehicles on car parc [in %]
4,0
9,9
1,1
2,3
7,1
2,8
0,90,10,10,30,20,20,2 0,50,50,70,80,7
China
0.1
4.0
0.1
South Korea
0.0
0.4
2.4
India
0.10.4
1.4
Netherlands
0.00.3
1.1
USA
0.0
1.1
Sweden
0.0
0.9
UK
0.0
0.7
Germany
0.0
0.70.4
France
0.0
<0.7
0.4
Japan
0.0
0.50.4
Italy
0.0
0.5
0.0
11.1
0.3
Singapore
0.0
10.2
Belgium
Taxi and on demand
Car sharing
Car Rental
Core capabilities: Uses sensors and computing
devices of better economics, combined with 5G core
technologies such as sliced network and edge
computing, to replace the high-cost sensor locating
technologies such as 64-laser lidar and expensive
computing devices. In this way, build a connected
automatic driving system that integrates big data,
artificial intelligence, and the Internet.
Sense Fusion Suite + TITAN Domain Controller +
ATHENA Software
Integrated, Multi-Dimensional
Autonomous Driving Application Solution
Chip-level solutionAutonomous driving AI algorithmAI hardware
acceleration
Connected
communication
Board-level solution
Collaboration
Plan
Automotive-grade
hardware computing
board
Autonomous driving software
app suite
ATHENAMDC
Atlas Intelligent Computing Platform Portfolio
Atlas 200 Atlas 800
AI Accelerator Module AI Appliance
Atlas 300
AI Accelerator Card
Atlas 500
AI Edge Station
G5500
Heterogeneous Server
G2500
Intelligent Video Analytics Server
GPU FPGANPU
• Atlas 200 AI Accelerator Module
Cameras Drones Robots
• Powered by the Huawei Ascend
AI Processor, it supports real-time
analysis of 16-channel HD videos
in the size of half a credit card
• Positioned for terminal devices such
as cameras and drones, and edge
devices such as AI edge stations, it
has a thermal design power (TDP) of
only 13 W
16 TOPS INT8 @ 13 W
Supports real-time analysis of 16-channel HD videos,
and JPEG encoding/decoding
8 GB memory, PCIe 3.0 x4 interface
Operating temperature: -25°C to +80°C
Dimensions: 52 mm x 38 mm x 10.2 mm
Large Capacity in
a Small Size
Built for Intelligent
Devices and Edge
• Provides 64 TOPS of INT8 and
64-channel HD video real-time
analysis on a single card, fueling
deep learning and inference with
superior compute power
• Supports JPEG and video hardware
encoding/decoding, delivering a leap
in image and video application
performance
• Large memory capacity and high
bandwidth, meeting memory
requirements in feature matching
scenarios and reducing application
latency
64 TOPS INT8 @ 75 W
Supports real-time analysis of 64-channel HD videos,
and JPEG encoding/decoding
32 GB memory, 204.8 GB/s memory bandwidth
PCIe 3.0 x16, half-height half-length card
Superior
Compute Power
Hardware
Encoding/Decoding
• Atlas 300 AI Accelerator Card
64 channels per card
Best choice for high-density video inference
• Atlas 200 Developer Kit
• Inspired by the Huawei Ascend AI
Processor, it integrates rich
peripheral interfaces and the
MindStudio software to help
developers quickly familiarize with
the development environment
• The MindStudio provides a user-
friendly programming interface and
graphics-based debugging capability,
allowing automatic management of
offline models with a simulation
environment
16 TOPS INT8 @ 24 W
• 1 USB type-C | 2 camera interfaces | 1 GE network
port | 1 SD card slot
8 GB memory
Operating temperature: 0°C to 45°C
Dimensions: 125 mm x 80 mm x 24 mm
High Integration Easy-to-Use Software
EnvironmentQuickly build development environment
in 30 minutes
• Atlas 500 AI Edge Station
AI Edge Station
Safe City | Smart Transportation |
Unattended Retail
Intelligent Edge
• An industry-leading edge
product that integrates AI
processing capabilities
• Works stably at -30°C to +60°C
outdoors without fans
Large Capacity in a
Compact Size
• Capable of processing 16-
channel HD videos in the size of
an STB
• Delivers a 4x performance lead
over competing products in the
industry
Edge-Cloud Collaboration
• Works with Huawei private cloud
and HUAWEI CLOUD, receiving
applications and updated
algorithms pushed from the cloud
• Unified device management and
firmware upgrade on the cloud
• AI Edge Station for Various Edge Applications
Smart Transportation(Traffic light tuning and intelligent traffic diversion)
Smart Manufacturing(Intelligent quality inspection and flexible
manufacturing)
Smart Security Surveillance(Boundary violation and compliance detection,
detention center surveillance)
Intelligent Care(Kindergarten and elderly care)
Unattended Retail(Unmanned retail and smart store)
Safe City(Facial recognition and license plate recognition)
• Atlas 800 AI Appliance
AI Appliance
Deep Learning | Model Training |
Recommendation System
Out-of-the-Box
• Ready to work in 2h with pre-
installed AI development
environment, underlying software
library, and development
framework
• Automatic generation of AutoDL
models, hyperparameter tuning,
and one-click model deployment
Ultimate Performance
• Provides an optimized AI environment
based on the standard framework and
programming environment
• Unlocks ultimate performance with
GPU scheduling algorithms, with over
15% resource utilization
Integrated Management
• Comprehensive management
of GPU utilization, health
monitoring, and job
scheduling
• Easy-to-use WebUI, more
intuitive and efficient than the
command line interface (CLI)
THANK YOU
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The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new
technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such
information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.