data center market overview - napatech center data center cran (sgw/pgw/mme) three big trends 01...
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Data Center Market OverviewNapatech Capital Markets DayApril 2018Oslo, Norway
© Copyright 2018 Xilinx
$2.35B FY17 revenue
>60% market segment share
3,500+ employees worldwide
20,000 customers worldwide
3,500+ patents
60 industry firsts
XILINX - Founded 1984
Headquarters
Research and Development
Sales and Support
Manufacturing
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The All Programmable Company
© Copyright 2018 Xilinx
Enabling
Cars and
Machines
to See it All
Embedded Vision
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Xilinx Multi-Market Growth Drivers
Accelerating
Storage,
Networking,
and Compute
Cloud Computing
Enabling
Safe and Secure
Connected
Machines
Industrial IoT
Connecting
Any Band,
Any Standard,
Any Network
5G Wireless
Machine LearningEdge Cloud
© Copyright 2018 Xilinx
Data Centers Popping Up Everywhere
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Radio Access Network
eNodeB
RNC /SAE
Home and Business Gateway /Access
Router (CPE/ONU)
EPC
PGW
MME
Data CenterSmall cellSP Wifi
Access network Aggregation/Evolved Packet Core Network Remote Service Center
Core Router
Hyperscale Data Center
or Cloud
Home
Office/SMB
Wireline Network
Wireless Network
BRAS (Broadcast remote
access server)
Head-end
SGW
Core Network
IoT Gateway
Wireline Multi-Service aggregation Router(CO-DSLAM, OLT)
Aggregation Switch
IMS/Internet
RRH
HSS
IoT
Data Center
Data Center
CRAN (SGW/PGW/MME)
Three Big Trends
01Explosion of Data
> 90% unstructured
> Video & image content
> Needs higher throughput & real-time computing
> Adoption across all industries
> Injecting new intelligence into apps
> From endpoints to edge to cloud
Three Big Trends
02Dawn of AI
> Heterogeneous computing with accelerators
> Breadth of apps require different architectures
> Speed of innovation outpacing silicon design cycles
Three Big Trends
03Computing After Moore’s Law
© Copyright 2018 Xilinx
Market Trend and Requirements
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Varying Applications
• Beyond Moore’s Law
• Dynamic Workload Mix
• Intelligent Applications
• Power Efficiency
• Heterogeneous computing
• Computational Storage
• Storage Disaggregation
• Smart Networking
• Security
Compute
Network
Storage
Base Components
Computational
Storage
Smart
Networking
Intelligent
Applications
Requirements
© Copyright 2018 XilinxPage 9
Mega Trend: AI is the new Electricity
AI projected to get embedded within traditional workloads across most industries
Multi-B$ Acceleration TAM across FPGAs / GPUs / ASICs
AI Market in 2016 AI Market in 2025
$1B
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Machine Learning Use Case: Video Captioning
© Copyright 2018 Xilinx
Mega Trend: Reconfigurable Acceleration in Hyperscale Data Center
Tier1 HS adopting FPGA for general purpose acceleration across multiple in-house and external workloads
Reconfigurable acceleration is the key to scaling performance in Hyperscale Data Centers
Google Workload Study (Google, Harvard, Yahoo Labs)
© Copyright 2018 Xilinx
FaaS is a new business model
Scaling from 1000s of RTL customers Millions of software developers 10,000s of end-customers
Two key success drivers:
– Ease of Use: Development environment / libraries / frameworks / APIs to enable software developers & data scientists
– Ecosystem: Availability of compelling applications from a multi-layered developer ecosystem
Mega Trend: FPGA-as-a-Service
End Customers
SaaSDevelopers
Accelerated Applications
IP & Libraries
Platform Provider
IP & AppDevelopers
Application as a Service
FPGA platform in the cloud
Development Environment & HAL / Runtime
© Copyright 2018 Xilinx
MLE
Enterprise
SaaS
Apps
FaaS
FPGA-as-a-Service Expanding Worldwide
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1
2
3
© Copyright 2018 Xilinx
Seamless Deployment of Software Stack
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Customized Datapath
Retargetable Compiler and Runtime
Fro
m X
ilinx
Fro
m
Com
munity Deploy
Compute Acceleration
Video & ImageProcessing 10x*
Data Analytics 90x*
Genomics 100x*
MachineLearning 40x*
Compute Acceleration
Genomics Use Case: Personalized Medicine
Whole genome diagnosis to treat critically ill newborns
Analysis reduced from 1 day to 20 minutes
Patient-specific genomics dynamically optimized
Field Programmable Gate Arrays (FPGAs) are semiconductor
devices that are based around a matrix of configurable logic
blocks (CLBs) connected via programmable interconnects.
FPGAs can be reprogrammed to desired application or
functionality requirements after manufacturing.
This feature distinguishes FPGAs from Application Specific
Integrated Circuits (ASICs), which are custom manufactured
and fixed for use cases.
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What is an FPGA ?
From FPGA to Adaptive Compute Acceleration Platform
HW/SW Programmable Engines
Next GenProgrammable
Logic
Application Processors
Real-Time Processors
GPIO &Mem I/F
SerDesRF
DAC/ADCHBM
ACAP
New Device Category for AdaptiveWorkload-Specific Acceleration
> HW/SW programmable engines
> IP subsystems and a network-on-chip
> Highly integrated programmable I/O
Benefits of an Adaptive Compute Acceleration Platform
Dynamically Adaptable to Workloads
Exponential Increase in Acceleration
Software Programmable
Custom acceleration for any workload – in milliseconds
Project “Everest” The First 7nm ACAP Product Family
4x5G Communications Bandwidth
20x AI Compute Capability
Revolutionary Adaptability
Software & Hardware UsersRapid Innovation & Deployment
Dynamic Optimization for Workloads
© Copyright 2018 Xilinx
Our Journey Towards “FPGA in Every Server” is just getting started…..
FPGA-as-a-ServiceExternal workloads
Reconfigurable Compute AcceleratorX+ML (Database/Video/Genomics/….)
Smart Storage ControllersTime-to-market, Flexibility, Computational Storage
Smart NICFabric attached network & compute acceleration
© Copyright 2018 Xilinx