Applied Micro development
ZT Systems (ST based) platforml tf
ZT Systems (ST based)
Dell “Copper”
HP “Redstone”
platform Mitac
ARM in Servers
Dell Copper platform
ARM in Servers
Server Ecosystem Momentum
2009: Internal ARM trials hosting part of website on ARM technology
2010: Calxeda raise $48M$
H2 2011
First release of Ubuntu server Linux for ARM
HP announce Redstone development platform
HP announce Redstone development platform
Applied Micro announce ARMv8 based X-Gene
Oracle announce server C2 JIT / JVM on ARM
H1 2012
H1 2012
Ubuntu release 12.04LTS server for ARM
First public demo of ARM platform with 12.04LTS,
MAAS J J O St k d j R R
MAAS, JuJu, OpenStack, node.js, RoR
Dell “Copper” announcement
Mitac GFX Server announcement
H2 2012
ARM announces 64-bit processors
Linaro forms software group focused on ARM powered servers
ARM Focuses Where the Server IS the Business
Server infrastructure is primary generator of profit for social
t ki d h ti i
Social Networking
networking and hosting companies
Server optimization is critical to
Server optimization is critical to maximize revenue and minimize running costs g
Power budget cannot be increased limiting throughputCloud Hosting
Businesses designed to be adaptive to new technology
to new technology
End user owns software assets or can easily access them from open sourcey pOne Size Does Not Fit All
Different server workloads require different blend compute networking and storageDifferent server workloads require different blend compute, networking and storage
ARM’s semiconductor partners can design specific SoCs for specific end markets
ARM’s Cortex processor technology ideal for running lower CPU intensive tasks
Light scale out examples include Static web servers Content delivery (i e video music)
Light scale-out examples include Static web servers, Content delivery (i.e. video, music),
Large distributed memory caching, Simple search systems (Hadoop, offline data analytics etc)
Servers Will Mimic Mobile SOC Evolution
Specific workloads for servers driving
segmentation in the
Key Drivers of the Potential Evolution of ARM-based Server Chips
segmentation in the server market
Generic, one-size-fits-all
CPU l it bl th e/$
Linux O/S Multiple Small CPU’s
Integrated Fabric
Heterogeneous Processing SOC’s
H/W Accelerators
CPUs less suitable than specifically designed, fully integrated SoCs
mance/Joule
O/S Multiple Apps
Linux O/S Single Application
Large Core CPU Virtualization
g
Power Efficiency
Computing efficiency
becoming as important in servers as it is in mobile
Perform Multiple Apps CPU
Cloud
Distributed Computing
Semiconductor
companies are increasing the compute efficiency of
Time
the compute efficiency of ARM-based server chips by integrating hardware blocks onto the SoC
blocks onto the SoC
32-bit Software Ecosystem in Place
All critical software pieces now in place to enable initial
ARM l tf t hi
ARM server platforms to ship by year end
Commercial grade Linux
Commercial grade Linux
OpenStack application software
Java compilersp Intense interest/commentary across press, analyst and end p y user communities
Evaluations of ARM servers
now underway at some tier 1
data centers
32-bit Software Ecosystem in Place
Common frame orks a ailable LAMP stack running Calxeda.com
Linux + Apache + MySQL + PHP
Common frameworks available Java/Tomcat, Ruby on Rails, Python, Perl
OpenStack enabled ARM servers Dynamically provision new
i t di tl t ARM d
Canonical’s Juju provisioning
a cluster of ARM based servers instances directly onto ARM nodes.
a cluster of ARM-based servers
Open Source Server Community
Linaro has set up an enterprise group to maintain Linux components and toolstools
Existing and new members will gdeliver optimized core open-source software for ARM servers
Reduces costs, eliminates fragmentation, accelerateswww linaro org/ser
product time to market
Enables ARM Server vendorswww.linaro.org/ser
Enables ARM Server vendorsver
to focus on innovation and differentiated value-add
32-bit SOCs for Servers
Marvell ARMADA-XP
Device supports up to 16GB of physical memory
Initial focus on storage servers Calxeda EnergyCore
Initial device based on Cortex-A9
Initial device based on Cortex-A9
Integrates top of rack networking functionality on chip
Sampling a Cortex-A15 based device in mid 2013p g TI KeyStone II (announced) y ( )
Cortex-A15 device
Coprocessor for use in server platformsSelected 32-bit ARM Powered Servers
Dell: “Copper” platform based on Marvell (ARMv7) silicon
HP: “Redstone” platform using
Calxeda EnergyCore device (Cortex- A9)
288 server nodes in a 4U rack space
Deployed in Trystack cloud initiative Mit GFX b d M ll
Mitac: GFX server based on Marvell
silicon.
ARM Technology for Servers
Cortex
Cortex--A Series A Series
“Low
“Low--Power Leadership”Power Leadership”
Cortex-A57 Cortex A57
Cortex-A53
- Performance,
- Technology leadership
- Best Performance per mW
Cortex-A15
Cortex-A9
Cortex-A7
Cortex-A5 Cortex-A8
Today 2013 Future
Cortex-A57: Performance and Capability
Maximum performance for ARM based SOCs
3x performance of Cortex-A9, running same applications Revolutionizing computing
5x the power-efficiency of currently shipping devices Improved privacy and security framework
Improved privacy and security framework
10x speed-up in encryption Enhanced capabilities for enterprise
Enhanced capabilities for enterprise
Enhanced floating point performance
Extended reliability featuresy
Scalability beyond 16 coresARMv8 (64-bit) Server SOCs in Development
ARMv8 Architecture Licensees
Cortex-A50 Licensees
Cortex-A50 Licensees
Applied Micro: X-Gene Development
Initial silicon under test in 1Q13. Platforms sampling in 2H12
Primary platform driving software ecosystem developmentPrimary platform driving software ecosystem development
Initial device in 40G includes eight cores 28nM version (2014) will support 32 cores running up to 3GHz. Coherency between four SoCs
ARM’s Server Opportunity
“Energy constrained” servers are driving innovative low- power architectures/platforms
ARM is well placed to take advantage of this transition
Twenty+ year history of developing energy-sipping processors
Business model that enables highly optimized SoC development
Critical mass to deliver the software ecosystem Market size ~12m servers per year
Approximately 50m deployedO t it f 4 ARM P d S C t