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Qualcomm Centriq™ Arm-based Servers for
Edge Computing
World’s First 10nm Server Processor
Chaitali Sengupta, PhD
Sr Director, Technology
Qualcomm Datacenter Technologies, Inc.
March 27, 2018 Open Networking Summit, North America
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
2
What is “Edge”
. . .
EDGE
Centralized CloudDevices / Premises Edge Cloud
Cloud Service Providers |
Datacenters
◦ > 100 ms latency
◦ 5-10 per operator or cloud service
provider
◦ 100s-1000s of server racks per site
Edge Cloud | Cloudlets |
Edge Gateways
◦ 5-20 ms latency
◦ Few server racks per site
Smartphones | Connected Cars |
Drones | IoT | Enterprise | Homes
◦ Customer Devices:
<2 ms latency for millions of devices
◦ Customer Premises:
<5 ms latency for thousands of devices
3
Computation Needs: Location & Purpose
. . .
EDGE
Centralized CloudDevices / Premises Edge Cloud
• Bandwidth / Backhaul Traffic
• Latency
• Compute performance needed
• Power/Thermal Envelope
• Privacy & Security
• Reliability
Parameters that drive compute locality – ie. Device / Edge / Centralized Cloud
4
Edge computing: Growing set of use cases
End Markets. Applications. Requirements.
End users / Subscribers
Enterprises
IoT
Automotive
Others
Augmentedreality
Autonomous action
Locationandcontextbased
userengagement
Cognitiveassistance
Connected/Self-drivingvehicles
Videoorchestrationinevents/venues
• Responsiveuserexperience 
Requireslow anddeterministic
latencyendtoend
• Interactive 
High transactionratebetween
deviceandservice
• Privacy/securityconcerns 
Requiringlocalprocessing
• Dataandcomputeheavy 
Morecosteffectivetobring
computeclose(er)totheenduser
5
Centralized CloudDevices / Premises
. . .
Edge Cloud
Edge computing vs. Cloud computing: What is the difference?
Edge Compute Characteristics Edge Compute Infrastructural Needs
Bothvirtualmachinesand
containers /Re-useNFV
infrastructure/Micro-services/
micro-serviceschaining
Usecases:
Heavydependenceoncomputer
vision,machinelearning
Multipleaccess:Mobile/Fixed,
public/private/enterprise
Realtimeaccesstoradio
networkinfo
Locationawareness
Ultralowlatencyincluding
networkandcomputedelay
Distributeddatahandling
Radioaccessnetworkinterfaces
Orchestration/Management&
Run-timetelemetry
CPUprocessingoffload:
FPGA,GPU,NPU,SmartNIC,ML
accelerators
6
Qualcomm
Centriq™
2400
Qualcomm® Falkor™ CPU
5th-Generation Custom Core Design /
ARMv8-Compliant
Highly Integrated Server SoC
Single Chip Platform-level Solution /
ARM SBSA Level 3 Compliant /
60 MB L3 cache /
32 Lanes PCIe Gen3
High core count
Up to 48 cores / 2.6 GHz all cores peak
frequency
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
Purpose-built for Edge and
Centralized Cloud
Qualcomm Centriq & Falkor are a product of Qualcomm Datacenter Technologies, Inc
• Network Function Virtualization infrastructure support via OPNFV and leading
partners to enable components such as OpenStack, DPDK, etc.
• Micro services, Containers, Virtualization support (e.g. KVM, Docker)
Software ecosystem to enable
NFV and Edge Computing
7
Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge
• High thread density and high
performance per thread at lower power
– large number of VM-s and
containers running independent
processing for radio and edge
application for multiple
bearers/users/services
• Thread isolation and predictable
latency
• Quality of service features to ensure
resources are allocated fairly and no
one service hogs them
– Isolation between multiple
bearers/users/services
– Service each user in real time
13.9 12.8 13.613.7 13.8 14.1
~Parity 8% better 4% better
Qualcomm Centriq 2460
120W TDP
vs.
Intel Xeon Platinum 8180
205W TDP*
Qualcomm Centriq
2452 120W TDP
vs.
Intel Xeon Gold
6152 140W TDP*
Qualcomm Centriq 2434
110W TDP
vs.
Intel Xeon Silver 4116
85W TDP*
SPECint®_rate2006EstimateperThread
Intel Xeon
Qualcomm
Centriq
Performance per thread leadership vs. top end Intel Xeon
Throughput performance leadership at same thread count
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
8
Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge
• Performance per watt and low
power leadership
– suitable for limited power
budget at edge cloud
– Cloudflare:
“Although it has a TDP of
120W, during my tests it
never went above 89W (for
the go benchmark). In
comparison Skylake and
Broadwell both went over
160W, while the TDP of the
two CPUs is 170W.”
3.8 4.0 3.9
5.5 5.3 5.1
SPECint®_rate2006EstimateperTDPW
45% better 32% better 31% better
Intel Xeon
Qualcomm
Centriq
Qualcomm Centriq 2460 120W TDP
vs.
Intel Xeon Platinum 8180 205W TDP*
Qualcomm Centriq 2452 120W TDP
vs.
Intel Xeon Gold 6152 140W TDP*
Qualcomm Centriq 2434 110W TDP
vs.
Intel Xeon Silver 4116 85W TDP*
12,403
16,311
15,393
161
165
72
0
50
100
150
200
0
6,000
12,000
18,000
Broadwell Skylake Centriq
Powerconsumption(w)
Requests/second
NGINX test data CPU powerNGINX
Equivalent performance: Qualcomm Centriq 46-core comparable to
two Skylake 12-core processors
Performance per Watt leadership vs. top end Intel Xeon
https://blog.cloudflare.co
m/arm-takes-wing/ :
Centriq “managed to get
214 requests/watt vs the
Skylake’s 99 requests/watt
and Broadwell’s 77”.
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
9
Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge
• More performance per CPU$
and TCO leadership
– Cost efficiency is essential
for edge computing to be
viable
• Analysis by Cloudflare
– Improved server density
per rack at same power
>> cost efficiency
Qualcomm Centriq 2460 120W TDP
vs.
Intel Xeon Platinum 8180 205W TDP*
Qualcomm Centriq 2452 120W TDP
vs.
Intel Xeon Gold 6152 140W TDP*
Qualcomm Centriq 2434 110W TDP
vs.
Intel Xeon Silver 4116 85W TDP*
12,403
16,311
15,393
161
165
72
0
50
100
150
200
0
6,000
12,000
18,000
Broadwell Skylake Centriq
Powerconsumption(w)
Requests/second
NGINX test data CPU powerNGINX
Equivalent performance: Qualcomm Centriq 46-core comparable
to two Skylake 12-core processors
Performance per CPU $ vs. top end Intel Xeon Platinum, Gold, and Silver
0.08
0.15
0.330.33
0.46
0.64
2x
better
SPECint®_rate2006EstimateperCPU$
Intel Xeon
Qualcomm
Centriq
3x
better
4x
better
40
servers
60
servers
Skylake Centriq
Improved density
Can fit 60 Qualcomm servers per cabinet
using same power as 40 Intel Skylake servers
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
10
Enabling Edge Computing on Qualcomm Centriq™ Arm-based Servers
• Data Plane performance is critical for most
Edge Computing use cases
• Network scaling from 10 to 40 to 100GigE
consumes progressively more CPU resources
• As a result of data plane processing optimization and the
higher core count of Centriq:
– Centriq™ 2400 offers head room for significantly more
additional compute at same networking line rate
performance as comparable Intel Skylake
Edge-specific
Optimizations
Packet processing, Containers,
Networking acceleration
Leverage NFV
Infrastructure
OPNFV Release D, E
OpenStack Nova, Neutron, Keystone
Virtualization &
Containers
KVM, Kubernetes, Docker
Data Plane
Optimizations
DPDK, OVS, FD.IO/VPP
NIC/SmartNIC
HW & SW
Optimizations
Mellanox, Netronome
* Based on QDT internal benchmarking of Centriq™ 2400 with Intel Skylake Gold 6152
Ecosystem Components
1111
Edge Computing Use Case on Centriq™: Cloud Gaming
48 Cores.
More Cloud Apps. More Instances Serviced.
Qualcomm Centriq™ 2400 Server Platform
OS: Ubuntu
LXD + AnBox
Android Runtime
Gaming
App
Container
Android Runtime
Gaming
App
Container
32-bit to 64-bit Binary Translator
• Game logic runs on
server
• Real time rendering
in the client
(Android, iOS, any
other OS)
• Client takes user
input in real time
Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
• Exceptional compute density for a high
number of game instances per CPU socket
• Full gaming experience live at >60fps
• Real time response with low latency
• Low CPU utilization
1212
Call for Action.
As edge computing
popularizes, edge computing
SW infrastructure will
proliferate.
We (the ecosystem) need to
work together to ensure it all
gets ported to and optimized
on Arm!
• http://www.etsi.org/technologies-clusters/technologies/multi-
access-edge-computing
• https://www.openstack.org/edge-computing/
• https://www.openfogconsortium.org/
• http://openedgecomputing.org/
• https://www.akraino.org/
• http://www.telecominfraproject.com/project-groups-2/access-
projects/edge-computing/
• … …
EnablingEdgeComputingonArm viaIndustryInitiatives
Nothing in these materials is an offer to sell any of the
components or devices referenced herein.
©2018 Qualcomm Technologies, Inc. and/or its affiliated
companies. All Rights Reserved.
Qualcomm is a trademark of Qualcomm Incorporated,
registered in the United States and other countries. Other
products and brand names may be trademarks or registered
trademarks of their respective owners.
References in this presentation to “Qualcomm” may mean Qualcomm
Incorporated, Qualcomm Technologies, Inc., and/or other subsidiaries
or business units within the Qualcomm corporate structure, as
applicable. Qualcomm Incorporated includes Qualcomm’s licensing
business, QTL, and the vast majority of its patent portfolio. Qualcomm
Technologies, Inc., a wholly-owned subsidiary of Qualcomm
Incorporated, operates, along with its subsidiaries, substantially all of
Qualcomm’s engineering, research and development functions, and
substantially all of its product and services businesses, including its
semiconductor business, QCT.
Follow us on:
For more information, visit us at:
www.qualcomm.com & www.qualcomm.com/blog
Thank you

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Qualcomm Centriq Arm-based Servers for Edge Computing at ONS 2018

  • 1. Qualcomm Centriq™ Arm-based Servers for Edge Computing World’s First 10nm Server Processor Chaitali Sengupta, PhD Sr Director, Technology Qualcomm Datacenter Technologies, Inc. March 27, 2018 Open Networking Summit, North America Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
  • 2. 2 What is “Edge” . . . EDGE Centralized CloudDevices / Premises Edge Cloud Cloud Service Providers | Datacenters ◦ > 100 ms latency ◦ 5-10 per operator or cloud service provider ◦ 100s-1000s of server racks per site Edge Cloud | Cloudlets | Edge Gateways ◦ 5-20 ms latency ◦ Few server racks per site Smartphones | Connected Cars | Drones | IoT | Enterprise | Homes ◦ Customer Devices: <2 ms latency for millions of devices ◦ Customer Premises: <5 ms latency for thousands of devices
  • 3. 3 Computation Needs: Location & Purpose . . . EDGE Centralized CloudDevices / Premises Edge Cloud • Bandwidth / Backhaul Traffic • Latency • Compute performance needed • Power/Thermal Envelope • Privacy & Security • Reliability Parameters that drive compute locality – ie. Device / Edge / Centralized Cloud
  • 4. 4 Edge computing: Growing set of use cases End Markets. Applications. Requirements. End users / Subscribers Enterprises IoT Automotive Others Augmentedreality Autonomous action Locationandcontextbased userengagement Cognitiveassistance Connected/Self-drivingvehicles Videoorchestrationinevents/venues • Responsiveuserexperience  Requireslow anddeterministic latencyendtoend • Interactive  High transactionratebetween deviceandservice • Privacy/securityconcerns  Requiringlocalprocessing • Dataandcomputeheavy  Morecosteffectivetobring computeclose(er)totheenduser
  • 5. 5 Centralized CloudDevices / Premises . . . Edge Cloud Edge computing vs. Cloud computing: What is the difference? Edge Compute Characteristics Edge Compute Infrastructural Needs Bothvirtualmachinesand containers /Re-useNFV infrastructure/Micro-services/ micro-serviceschaining Usecases: Heavydependenceoncomputer vision,machinelearning Multipleaccess:Mobile/Fixed, public/private/enterprise Realtimeaccesstoradio networkinfo Locationawareness Ultralowlatencyincluding networkandcomputedelay Distributeddatahandling Radioaccessnetworkinterfaces Orchestration/Management& Run-timetelemetry CPUprocessingoffload: FPGA,GPU,NPU,SmartNIC,ML accelerators
  • 6. 6 Qualcomm Centriq™ 2400 Qualcomm® Falkor™ CPU 5th-Generation Custom Core Design / ARMv8-Compliant Highly Integrated Server SoC Single Chip Platform-level Solution / ARM SBSA Level 3 Compliant / 60 MB L3 cache / 32 Lanes PCIe Gen3 High core count Up to 48 cores / 2.6 GHz all cores peak frequency Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc Purpose-built for Edge and Centralized Cloud Qualcomm Centriq & Falkor are a product of Qualcomm Datacenter Technologies, Inc • Network Function Virtualization infrastructure support via OPNFV and leading partners to enable components such as OpenStack, DPDK, etc. • Micro services, Containers, Virtualization support (e.g. KVM, Docker) Software ecosystem to enable NFV and Edge Computing
  • 7. 7 Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge • High thread density and high performance per thread at lower power – large number of VM-s and containers running independent processing for radio and edge application for multiple bearers/users/services • Thread isolation and predictable latency • Quality of service features to ensure resources are allocated fairly and no one service hogs them – Isolation between multiple bearers/users/services – Service each user in real time 13.9 12.8 13.613.7 13.8 14.1 ~Parity 8% better 4% better Qualcomm Centriq 2460 120W TDP vs. Intel Xeon Platinum 8180 205W TDP* Qualcomm Centriq 2452 120W TDP vs. Intel Xeon Gold 6152 140W TDP* Qualcomm Centriq 2434 110W TDP vs. Intel Xeon Silver 4116 85W TDP* SPECint®_rate2006EstimateperThread Intel Xeon Qualcomm Centriq Performance per thread leadership vs. top end Intel Xeon Throughput performance leadership at same thread count Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
  • 8. 8 Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge • Performance per watt and low power leadership – suitable for limited power budget at edge cloud – Cloudflare: “Although it has a TDP of 120W, during my tests it never went above 89W (for the go benchmark). In comparison Skylake and Broadwell both went over 160W, while the TDP of the two CPUs is 170W.” 3.8 4.0 3.9 5.5 5.3 5.1 SPECint®_rate2006EstimateperTDPW 45% better 32% better 31% better Intel Xeon Qualcomm Centriq Qualcomm Centriq 2460 120W TDP vs. Intel Xeon Platinum 8180 205W TDP* Qualcomm Centriq 2452 120W TDP vs. Intel Xeon Gold 6152 140W TDP* Qualcomm Centriq 2434 110W TDP vs. Intel Xeon Silver 4116 85W TDP* 12,403 16,311 15,393 161 165 72 0 50 100 150 200 0 6,000 12,000 18,000 Broadwell Skylake Centriq Powerconsumption(w) Requests/second NGINX test data CPU powerNGINX Equivalent performance: Qualcomm Centriq 46-core comparable to two Skylake 12-core processors Performance per Watt leadership vs. top end Intel Xeon https://blog.cloudflare.co m/arm-takes-wing/ : Centriq “managed to get 214 requests/watt vs the Skylake’s 99 requests/watt and Broadwell’s 77”. Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
  • 9. 9 Why the Centriq™ 2400 Server Processor is a good fit for Cloudlets / Edge • More performance per CPU$ and TCO leadership – Cost efficiency is essential for edge computing to be viable • Analysis by Cloudflare – Improved server density per rack at same power >> cost efficiency Qualcomm Centriq 2460 120W TDP vs. Intel Xeon Platinum 8180 205W TDP* Qualcomm Centriq 2452 120W TDP vs. Intel Xeon Gold 6152 140W TDP* Qualcomm Centriq 2434 110W TDP vs. Intel Xeon Silver 4116 85W TDP* 12,403 16,311 15,393 161 165 72 0 50 100 150 200 0 6,000 12,000 18,000 Broadwell Skylake Centriq Powerconsumption(w) Requests/second NGINX test data CPU powerNGINX Equivalent performance: Qualcomm Centriq 46-core comparable to two Skylake 12-core processors Performance per CPU $ vs. top end Intel Xeon Platinum, Gold, and Silver 0.08 0.15 0.330.33 0.46 0.64 2x better SPECint®_rate2006EstimateperCPU$ Intel Xeon Qualcomm Centriq 3x better 4x better 40 servers 60 servers Skylake Centriq Improved density Can fit 60 Qualcomm servers per cabinet using same power as 40 Intel Skylake servers Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc
  • 10. 10 Enabling Edge Computing on Qualcomm Centriq™ Arm-based Servers • Data Plane performance is critical for most Edge Computing use cases • Network scaling from 10 to 40 to 100GigE consumes progressively more CPU resources • As a result of data plane processing optimization and the higher core count of Centriq: – Centriq™ 2400 offers head room for significantly more additional compute at same networking line rate performance as comparable Intel Skylake Edge-specific Optimizations Packet processing, Containers, Networking acceleration Leverage NFV Infrastructure OPNFV Release D, E OpenStack Nova, Neutron, Keystone Virtualization & Containers KVM, Kubernetes, Docker Data Plane Optimizations DPDK, OVS, FD.IO/VPP NIC/SmartNIC HW & SW Optimizations Mellanox, Netronome * Based on QDT internal benchmarking of Centriq™ 2400 with Intel Skylake Gold 6152 Ecosystem Components
  • 11. 1111 Edge Computing Use Case on Centriq™: Cloud Gaming 48 Cores. More Cloud Apps. More Instances Serviced. Qualcomm Centriq™ 2400 Server Platform OS: Ubuntu LXD + AnBox Android Runtime Gaming App Container Android Runtime Gaming App Container 32-bit to 64-bit Binary Translator • Game logic runs on server • Real time rendering in the client (Android, iOS, any other OS) • Client takes user input in real time Qualcomm Centriq is a product of Qualcomm Datacenter Technologies, Inc • Exceptional compute density for a high number of game instances per CPU socket • Full gaming experience live at >60fps • Real time response with low latency • Low CPU utilization
  • 12. 1212 Call for Action. As edge computing popularizes, edge computing SW infrastructure will proliferate. We (the ecosystem) need to work together to ensure it all gets ported to and optimized on Arm! • http://www.etsi.org/technologies-clusters/technologies/multi- access-edge-computing • https://www.openstack.org/edge-computing/ • https://www.openfogconsortium.org/ • http://openedgecomputing.org/ • https://www.akraino.org/ • http://www.telecominfraproject.com/project-groups-2/access- projects/edge-computing/ • … … EnablingEdgeComputingonArm viaIndustryInitiatives
  • 13. Nothing in these materials is an offer to sell any of the components or devices referenced herein. ©2018 Qualcomm Technologies, Inc. and/or its affiliated companies. All Rights Reserved. Qualcomm is a trademark of Qualcomm Incorporated, registered in the United States and other countries. Other products and brand names may be trademarks or registered trademarks of their respective owners. References in this presentation to “Qualcomm” may mean Qualcomm Incorporated, Qualcomm Technologies, Inc., and/or other subsidiaries or business units within the Qualcomm corporate structure, as applicable. Qualcomm Incorporated includes Qualcomm’s licensing business, QTL, and the vast majority of its patent portfolio. Qualcomm Technologies, Inc., a wholly-owned subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, substantially all of Qualcomm’s engineering, research and development functions, and substantially all of its product and services businesses, including its semiconductor business, QCT. Follow us on: For more information, visit us at: www.qualcomm.com & www.qualcomm.com/blog Thank you