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From Technologies to Markets
© 2019
From Technologies to Markets
© 2019
(x)PU:
High-End CPU and GPU
for Datacenter
Applications 2020
Market and Technology
Report
From Technologies to Markets
© 2020
Sample
2
TABLE OF CONTENTS
o Scope, objectives, and methodology 7
o Three-slides summary 16
o Executive summary 18
o Introduction - Context 48
o Market forecast 63
o Market trends 81
o High-Performance Computing 87
o Cloud gaming 106
o Technology trends 122
o CPU 127
o GPU 145
o In-memory computing 165
o Focus on packaging 174
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
o Ecosystem 194
o High-Performance Computing 201
o Cloud gaming 228
o Mergers and acquisitions 233
o Summary and conclusions 239
o Noteworthy news 2018 - 2019 245
o How to use our data? 254
o Yole Développement’s presentation 255
33
Simone Bertolazzi, PhD
Simone is a Technology & Market Analyst at Yole Développement (Yole), working within the Semiconductor & Software division. He is a member of
Yole’s Memory team and contributes daily to the analysis of memory markets and technologies, as well as their related materials and fabrication
processes. Previously, Simone conducted experimental research in the fields of nanoscience and nanotechnology, focused on emerging
semiconducting materials and their device applications. He has authored or co-authored more than 15 papers in high-impact scientific journals
(3,000+ citations) and was awarded the prestigious Marie Curie Intra-European Fellowship. In 2015, Simone obtained a PhD in Physics from École
Polytechnique Fédérale de Lausanne (EPFL, Switzerland), where he developed flash memory cells based on heterostructures of 2D materials and high-
κ dielectrics. Simone earned a double M. A. Sc. degree from Polytechnique de Montréal (Canada) and Politecnico di Milano (Italy), graduating with
honors.
Contact: simone.bertolazzi@yole.fr
Yohann Tschudi, PhD
As a Software & Market Analyst, Dr. Yohann Tschudi is a member of the Semiconductor & Software division at Yole Développement (Yole). Yohann
works daily with his team to identify, understand, and analyze the role of software and computing parts within any semiconductor product, from
machine code to the most advanced algorithms. Following his thesis at CERN (Geneva, Switzerland), Yohann developed dedicated software for fluid
mechanics and thermodynamics applications. Afterwards, he served for two years at the University of Miami (FL, United-States) as an AI scientist.
Yohann has a PhD in High-Energy Physics and a master’s degree in Physical Sciences from Claude Bernard University (Lyon, France).
Contact: yohann.tschudi@yole.fr
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
ABOUT THE AUTHORS
Biographies & contacts
44
AMD, Ampere eMAG, Apple, ARM, Atipa, Atos, Amazon Web Services (AWS), Barefoot Networks,
Blade, Bull, Cisco, Cluster Vision, Cray, Data Direct Networks, Dell, Electronic Arts, Fujitsu,
GlobalFoundries (GF), Google Cloud, Google Stadia, Gyrfalcon Technology, Hitachi, HP, HP
Enterprise, Huawei, Ibiden, IBM, Intel, Inspur, Jump, Lenovo, Marvell, Mediatek, Megatel, Megware,
Mellanox, Microchip, Microsoft Azure, Movidius, Mythic, NEC, National Research Center of Parallel
Computer Engineering & Technology (NRCPC), NTT Communications, National University of
Defense Technology (NUDT), NVidia, Oracle, Penguin Computing, Pezy Computing, Qualcomm,
Samsung, Sony, STMicroelectronics (STM), Sugon, SuperMicro, Syntiant, TSMC, UPMEM, Vortex, and
more.
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
COMPANIES CITED IN THIS REPORT
5
REPORT OBJECTIVES
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
1. Provide market data on key datacenter players’ metrics and dynamics
o Semiconductor-level revenue forecast, volume shipments, and component share
o Market dynamics, segmentation breakdown per application
o Two axes of focus: high-performance computing and cloud gaming
2. Deliver an in-depth understanding of the high-end datacenter ecosystem
o Who are the players (OEMs, computing hardware players, foundries), and how are they related?
o Who are the key suppliers to watch - and more generally, how will the technology & market
evolve?
1. Present key technical insights and analysis regarding future technology trends
and challenges
o Manufacturing technologies: design structure
o Device technologies and applications across markets
o Technology insights for game-changing topics like deep learning and Cloud gaming
6
METHODOLOGIES & DEFINITIONS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
Market segmentation
volume (in Munits),
ASP (in $),
revenue (in $M)
Yole’s market forecast model is based on matching “top-down” vs. “bottom-up” approaches:
Aggregate
information
Preexisting
information
Reconciliation
Bottom-up
approach
Top-down
approach
7
REPORT SCOPE - APPLICATIONS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr |
©2020
High-performance
computing
Storage/Databases
Social and media
Cloud gaming Meteorology
Genomics
Computing for data
management
Computing for data
transfer
Computing for gaming
and data transfer
Computing for heavy
computation algorithms
High-end
Low-end
Not included in this
report
Supercomputers
HPC-as-a-Service
8
REPORT SCOPE - TECHNOLOGIES
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
Accelerators
A central processing unit (CPU),
also called a central processor or
main processor, is the electronic
circuitry within a computer that
carries out the instructions of a
computer program by performing
the basic arithmetic, logic,
controlling, and input/output
(I/O) operations specified by
the instructions.
Sequential
computation
A graphics processing unit (GPU)
is a specialized electronic circuit
designed to rapidly manipulate
and alter memory to accelerate
the creation of images in a
frame buffer intended for output
to a display device. Their highly
parallel structure makes them
more efficient than general-
purpose central processing units
(CPUs) for algorithms that
process large blocks of data in
parallel.
Parallel computation
A field-programmable gate array
(FPGA) is an integrated circuit
designed to be configured by a
customer or a designer after
manufacturing - hence the term
"field-programmable". Any FPGAs
can be reprogrammed to
implement different logic
functions,[2] allowing flexible
reconfigurable computing as
performed in computer software.
Configurable,
flexibility
Accelerators are an application-
specific integrated circuit (ASIC)
dedicated for a particular use
(rather than a general-purpose
use) as a neural processing unit
(NPU) / neural network
processor (NNP) for computing
AI algorithms.
Going further, emerging
technology such as in-memory
computing chips are even more
performant and less versatile.
Performance
Not included in this
report
PerformanceVersatility
Arithmetic Vector Matrix Specialization
99(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
WHAT RUNS ON THE CLOUD? MAIN APPLICATIONS
High-performance
computing
Storage/databases Social and media Cloud gaming
Meteorology
Genomics
Store data, i.e.
docs, photos,
small videos, and
database
Diffuse data, i.e.
videos, movies,
TV shows, and
music, to users
Stream video
games to user
platform
Perform heavy
computations and
storage
These last two applications in
particular need powerful computing
hardware
1010
TRAINING AND INFERENCE, EDGE AND CLOUD COMPUTING
These three
approaches
fulfill different
needs, evolve
in parallel, and
do not
represent
different
levels of
advancement.
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
Training and Inference
in the Cloud
• No latency issues
• Data control
• Technology on the edge not ready
Training on the Cloud
Inference on the Edge
Virtual Personal Assistant
• Latency constraints
• Cost control
• Regulations
Autonomous Driving
Authentication
Augmented Reality
Training and Inference
on the Edge
• Latency constraints
• Behavior evolution needed
• Privacy constraints
• In development for now
Robotics
Surveillance
1111(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
SEGMENTATION
3 markets
Cloud gaming
2
technologies
Supercomputers
HPC-as-a-service
Central Processing Unit
CPU
Graphic Processing Unit
GPU
12
WHO SHOULD BE INTERESTED IN THIS REPORT?
IC manufacturers and vendors, and IP sellers:
o Evaluate the market potential of future
technologies and products for new applicative
markets
o Screen potential new suppliers for introducing new
disruptive technologies
o Monitor and benchmark your competitors’
advancements
Computing hardware players:
o Gauge the market potential of Cloud gaming and
high-performance computing
o Review potential applications and partners
o Monitor and benchmark your competitors’
advancements
Open foundries and IDMs:
o Spot new opportunities and define diversification
strategies
o Position your company in the future of AI
Equipment & materials manufacturers:
o Understand the neuromorphic revolution and
ecosystem dynamics
o Discern the differentiated value of your products
and technologies in this market
o Identify new business opportunities and prospects
Financial & strategic investors:
o See the potential of new imaging technologies
o Obtain a list of key emerging start-ups
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
1313
MARKET EVOLUTION FROM 2019 TO 2025
• Among the leading-edge datacenter applications, Cloud gaming is the fastest-growing market segment, with a CAGR19-25 exceeding
XX% for CPUs and GPUs.
• HPC-as-a-service will remain the largest market segment for GPUs/CPUs, driven by ever-growing GPU demand from
data/compute-intensive AI applications performed in the Cloud.
Cloud gaming – CPU, CAGR19-25 ≈ XX%
Cloud gaming – GPU, CAGR19-25 ≈ XX%
HPC-as-a-service – CPU, CAGR19-25 ≈ XX%
HPC-as-a-service – GPU, CAGR19-25 ≈ XX%
Supercomputer – CPU, CAGR19-25 ≈ XX%
Supercomputer – GPU, CAGR19-25 ≈ XX%
Total CPU + GPU market CAGR19-25 ≈ XX%
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
14
FORECAST 2018-2025
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
15
MARKET TRENDS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
16
TECHNOLOGY TRENDS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
17
TECHNOLOGY TRENDS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
1818
KEY PLAYERS IN THE CPU AND GPU MARKETS
Just three players hold most of the GPU/CPU markets
Company
(revenue)
CPU
(ranking)
Discrete GPU
(ranking)
FY 2018: $70.8B (+13%) 1st
Exascale GPU card unveiled. Xe GPU cards likely after 2020.
FY 2019: $11.7B (+21%) 1st
FY 2018: $6.5B (+23%) 2nd 2nd
• AMD is the only player focused on both CPU and GPU, using a foundry business model that relies on collaboration with the leading foundry,
TSMC. NVidia focuses exclusively on GPUs, whereas Intel’s sole focus is CPUs. However, Intel has repeatedly stated its intention of entering
the discrete GPU market. The starting point will be exascale computing (“Ponte Vecchio” cards unveiled at the SC ‘19 conference).
19
ECOSYSTEM
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
20
CPU/GPU BUSINESS - GEOSTRATECIC ANALYSIS
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
21
Contact our
Sales Team
for more
information
21
Contact our
Sales Team
for more
information
Artificial Intelligence Computing
for Automotive
Artificial Intelligence Computing
for Consumer
Image Signal Processor and
Vision Processor: Market and
Technology
Neuromorphic Technologies for
Sensing and Computing
Status of the Memory Industry
2019
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
RELATED REPORTS
Yole Développement
22
Contact our
Sales Team
for more
information
22
Contact our
Sales Team
for more
information
Intel’s Embedded Multi-Die
Interconnect Bridge (EMIB)
(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
RELATED REPORT
System Plus Consulting
23
CONTACT INFORMATION
o CONSULTING AND SPECIFICANALYSIS, REPORT BUSINESS
• North America:
• Steve LaFerriere, Senior Sales Director forWestern US & Canada
Email: laferriere@yole.fr – + 1 310 600-8267
• ChrisYouman, Senior Sales Director for Eastern US & Canada
Email: chris.youman@yole.fr – +1 919 607 9839
• Japan & Rest of Asia:
• Takashi Onozawa, General Manager,Asia Business Development
(India & ROA)
Email: onozawa@yole.fr - +81 34405-9204
• Miho Ohtake, Account Manager (Japan)
Email: ohtake@yole.fr - +81 3 4405 9204
• Itsuyo Oshiba, Account Manager (Japan & Singapore)
Email: oshiba@yole.fr - +81-80-3577-3042
• Toru Hosaka, Business Development Manager (Japan)
Email: toru.hosaka@yole.fr - +81 90 1775 3866
• Korea: Peter Ok, Business Development Director
Email: peter.ok@yole.fr - +82 10 4089 0233
• Greater China: Mavis Wang, Director of Greater China Business
Development
Email: wang@yole.fr - +886 979 336 809 / +86 136 61566824
• Europe & RoW: Lizzie Levenez, EMEA Business Development Manager
Email: levenez@yole.fr - +49 15 123 544 182
o FINANCIAL SERVICES (in partnership withWoodside Capital
Partners)
• Jean-Christophe Eloy, CEO & President
Email: eloy@yole.fr - +33 4 72 83 01 80
• Ivan Donaldson,VP of Financial Market Development
Email: ivan.donaldson@yole.fr - +1 208 850 3914
o CUSTOM PROJECT SERVICES
• Jérome Azémar,Technical Project Development Director
Email: azemar@yole.fr - +33 6 27 68 69 33
o GENERAL
• CamilleVeyrier, Director, Marketing & Communication
Email: veyrier@yole.fr - +33 472 83 01 01
• Sandrine Leroy, Director, Public Relations
Email: leroy@yole.fr - +33 4 72 83 01 89
• Email: info@yole.fr - +33 4 72 83 01 80
Follow us on
About Yole Développement | www.yole.fr | ©2020

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(x)PU: High-End CPU and GPU for Datacenter Applications 2020 report by Yole Développement

  • 1. From Technologies to Markets © 2019 From Technologies to Markets © 2019 (x)PU: High-End CPU and GPU for Datacenter Applications 2020 Market and Technology Report From Technologies to Markets © 2020 Sample
  • 2. 2 TABLE OF CONTENTS o Scope, objectives, and methodology 7 o Three-slides summary 16 o Executive summary 18 o Introduction - Context 48 o Market forecast 63 o Market trends 81 o High-Performance Computing 87 o Cloud gaming 106 o Technology trends 122 o CPU 127 o GPU 145 o In-memory computing 165 o Focus on packaging 174 (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 o Ecosystem 194 o High-Performance Computing 201 o Cloud gaming 228 o Mergers and acquisitions 233 o Summary and conclusions 239 o Noteworthy news 2018 - 2019 245 o How to use our data? 254 o Yole Développement’s presentation 255
  • 3. 33 Simone Bertolazzi, PhD Simone is a Technology & Market Analyst at Yole Développement (Yole), working within the Semiconductor & Software division. He is a member of Yole’s Memory team and contributes daily to the analysis of memory markets and technologies, as well as their related materials and fabrication processes. Previously, Simone conducted experimental research in the fields of nanoscience and nanotechnology, focused on emerging semiconducting materials and their device applications. He has authored or co-authored more than 15 papers in high-impact scientific journals (3,000+ citations) and was awarded the prestigious Marie Curie Intra-European Fellowship. In 2015, Simone obtained a PhD in Physics from École Polytechnique Fédérale de Lausanne (EPFL, Switzerland), where he developed flash memory cells based on heterostructures of 2D materials and high- κ dielectrics. Simone earned a double M. A. Sc. degree from Polytechnique de Montréal (Canada) and Politecnico di Milano (Italy), graduating with honors. Contact: simone.bertolazzi@yole.fr Yohann Tschudi, PhD As a Software & Market Analyst, Dr. Yohann Tschudi is a member of the Semiconductor & Software division at Yole Développement (Yole). Yohann works daily with his team to identify, understand, and analyze the role of software and computing parts within any semiconductor product, from machine code to the most advanced algorithms. Following his thesis at CERN (Geneva, Switzerland), Yohann developed dedicated software for fluid mechanics and thermodynamics applications. Afterwards, he served for two years at the University of Miami (FL, United-States) as an AI scientist. Yohann has a PhD in High-Energy Physics and a master’s degree in Physical Sciences from Claude Bernard University (Lyon, France). Contact: yohann.tschudi@yole.fr (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 ABOUT THE AUTHORS Biographies & contacts
  • 4. 44 AMD, Ampere eMAG, Apple, ARM, Atipa, Atos, Amazon Web Services (AWS), Barefoot Networks, Blade, Bull, Cisco, Cluster Vision, Cray, Data Direct Networks, Dell, Electronic Arts, Fujitsu, GlobalFoundries (GF), Google Cloud, Google Stadia, Gyrfalcon Technology, Hitachi, HP, HP Enterprise, Huawei, Ibiden, IBM, Intel, Inspur, Jump, Lenovo, Marvell, Mediatek, Megatel, Megware, Mellanox, Microchip, Microsoft Azure, Movidius, Mythic, NEC, National Research Center of Parallel Computer Engineering & Technology (NRCPC), NTT Communications, National University of Defense Technology (NUDT), NVidia, Oracle, Penguin Computing, Pezy Computing, Qualcomm, Samsung, Sony, STMicroelectronics (STM), Sugon, SuperMicro, Syntiant, TSMC, UPMEM, Vortex, and more. (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 COMPANIES CITED IN THIS REPORT
  • 5. 5 REPORT OBJECTIVES (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 1. Provide market data on key datacenter players’ metrics and dynamics o Semiconductor-level revenue forecast, volume shipments, and component share o Market dynamics, segmentation breakdown per application o Two axes of focus: high-performance computing and cloud gaming 2. Deliver an in-depth understanding of the high-end datacenter ecosystem o Who are the players (OEMs, computing hardware players, foundries), and how are they related? o Who are the key suppliers to watch - and more generally, how will the technology & market evolve? 1. Present key technical insights and analysis regarding future technology trends and challenges o Manufacturing technologies: design structure o Device technologies and applications across markets o Technology insights for game-changing topics like deep learning and Cloud gaming
  • 6. 6 METHODOLOGIES & DEFINITIONS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 Market segmentation volume (in Munits), ASP (in $), revenue (in $M) Yole’s market forecast model is based on matching “top-down” vs. “bottom-up” approaches: Aggregate information Preexisting information Reconciliation Bottom-up approach Top-down approach
  • 7. 7 REPORT SCOPE - APPLICATIONS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 High-performance computing Storage/Databases Social and media Cloud gaming Meteorology Genomics Computing for data management Computing for data transfer Computing for gaming and data transfer Computing for heavy computation algorithms High-end Low-end Not included in this report Supercomputers HPC-as-a-Service
  • 8. 8 REPORT SCOPE - TECHNOLOGIES (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 Accelerators A central processing unit (CPU), also called a central processor or main processor, is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logic, controlling, and input/output (I/O) operations specified by the instructions. Sequential computation A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. Their highly parallel structure makes them more efficient than general- purpose central processing units (CPUs) for algorithms that process large blocks of data in parallel. Parallel computation A field-programmable gate array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturing - hence the term "field-programmable". Any FPGAs can be reprogrammed to implement different logic functions,[2] allowing flexible reconfigurable computing as performed in computer software. Configurable, flexibility Accelerators are an application- specific integrated circuit (ASIC) dedicated for a particular use (rather than a general-purpose use) as a neural processing unit (NPU) / neural network processor (NNP) for computing AI algorithms. Going further, emerging technology such as in-memory computing chips are even more performant and less versatile. Performance Not included in this report PerformanceVersatility Arithmetic Vector Matrix Specialization
  • 9. 99(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 WHAT RUNS ON THE CLOUD? MAIN APPLICATIONS High-performance computing Storage/databases Social and media Cloud gaming Meteorology Genomics Store data, i.e. docs, photos, small videos, and database Diffuse data, i.e. videos, movies, TV shows, and music, to users Stream video games to user platform Perform heavy computations and storage These last two applications in particular need powerful computing hardware
  • 10. 1010 TRAINING AND INFERENCE, EDGE AND CLOUD COMPUTING These three approaches fulfill different needs, evolve in parallel, and do not represent different levels of advancement. (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 Training and Inference in the Cloud • No latency issues • Data control • Technology on the edge not ready Training on the Cloud Inference on the Edge Virtual Personal Assistant • Latency constraints • Cost control • Regulations Autonomous Driving Authentication Augmented Reality Training and Inference on the Edge • Latency constraints • Behavior evolution needed • Privacy constraints • In development for now Robotics Surveillance
  • 11. 1111(x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 SEGMENTATION 3 markets Cloud gaming 2 technologies Supercomputers HPC-as-a-service Central Processing Unit CPU Graphic Processing Unit GPU
  • 12. 12 WHO SHOULD BE INTERESTED IN THIS REPORT? IC manufacturers and vendors, and IP sellers: o Evaluate the market potential of future technologies and products for new applicative markets o Screen potential new suppliers for introducing new disruptive technologies o Monitor and benchmark your competitors’ advancements Computing hardware players: o Gauge the market potential of Cloud gaming and high-performance computing o Review potential applications and partners o Monitor and benchmark your competitors’ advancements Open foundries and IDMs: o Spot new opportunities and define diversification strategies o Position your company in the future of AI Equipment & materials manufacturers: o Understand the neuromorphic revolution and ecosystem dynamics o Discern the differentiated value of your products and technologies in this market o Identify new business opportunities and prospects Financial & strategic investors: o See the potential of new imaging technologies o Obtain a list of key emerging start-ups (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 13. 1313 MARKET EVOLUTION FROM 2019 TO 2025 • Among the leading-edge datacenter applications, Cloud gaming is the fastest-growing market segment, with a CAGR19-25 exceeding XX% for CPUs and GPUs. • HPC-as-a-service will remain the largest market segment for GPUs/CPUs, driven by ever-growing GPU demand from data/compute-intensive AI applications performed in the Cloud. Cloud gaming – CPU, CAGR19-25 ≈ XX% Cloud gaming – GPU, CAGR19-25 ≈ XX% HPC-as-a-service – CPU, CAGR19-25 ≈ XX% HPC-as-a-service – GPU, CAGR19-25 ≈ XX% Supercomputer – CPU, CAGR19-25 ≈ XX% Supercomputer – GPU, CAGR19-25 ≈ XX% Total CPU + GPU market CAGR19-25 ≈ XX% (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 14. 14 FORECAST 2018-2025 (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 15. 15 MARKET TRENDS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 16. 16 TECHNOLOGY TRENDS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 17. 17 TECHNOLOGY TRENDS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 18. 1818 KEY PLAYERS IN THE CPU AND GPU MARKETS Just three players hold most of the GPU/CPU markets Company (revenue) CPU (ranking) Discrete GPU (ranking) FY 2018: $70.8B (+13%) 1st Exascale GPU card unveiled. Xe GPU cards likely after 2020. FY 2019: $11.7B (+21%) 1st FY 2018: $6.5B (+23%) 2nd 2nd • AMD is the only player focused on both CPU and GPU, using a foundry business model that relies on collaboration with the leading foundry, TSMC. NVidia focuses exclusively on GPUs, whereas Intel’s sole focus is CPUs. However, Intel has repeatedly stated its intention of entering the discrete GPU market. The starting point will be exascale computing (“Ponte Vecchio” cards unveiled at the SC ‘19 conference).
  • 19. 19 ECOSYSTEM (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 20. 20 CPU/GPU BUSINESS - GEOSTRATECIC ANALYSIS (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020
  • 21. 21 Contact our Sales Team for more information 21 Contact our Sales Team for more information Artificial Intelligence Computing for Automotive Artificial Intelligence Computing for Consumer Image Signal Processor and Vision Processor: Market and Technology Neuromorphic Technologies for Sensing and Computing Status of the Memory Industry 2019 (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 RELATED REPORTS Yole Développement
  • 22. 22 Contact our Sales Team for more information 22 Contact our Sales Team for more information Intel’s Embedded Multi-Die Interconnect Bridge (EMIB) (x)PU: high-end CPU and GPU for datacenter applications 2020 | Sample | www.yole.fr | ©2020 RELATED REPORT System Plus Consulting
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