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Adapter Processor Scalable Infrastructure Market Shares, Strategies, and Forecasts, Worldwide, 2017-2023

October 2017 | 221 pages | ID: A5A58D9F2C1EN
WinterGreen Research

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Worldwide markets are poised to achieve significant growth as the artificial intelligence software, IOT Internet of things, drones, self driving cars, and all manner of automated process increases use of the digital economy. Scalable Data Centers depend on infrastructure scalability excellence, which is achieved with a two layer architecture utilizing adapters and processors described in this study.

Data center solutions are moving in the direction of being open standards-based, software-driven, and able to work seamlessly with DevOps to achieve cross-domain automation. The aim of IT is to meet agility and efficiency goals. Scalable data center wired Adapter Processor represent one component of the move to a digital economy.

Speed is the new currency of business. Digital disruption is illustrated by Google, Facebook, and Amazon. Among many other well-known digital disruptors Salesforce stands out. These companies have IT that is characterized by the ability to respond to opportunities quickly. It is no longer possible to beat the competition by having a better product, lower prices, and the best people. That still matters, but is not enough.

To win, companies need an agile IT architecture, less expensive by a factor of 50 than existing IT, and that helps companies respond to the next big wave of opportunity and ride it faster than the competition. While corporate management is consumed in managing people by setting rules and creating workgroups that are effective, and things that are put in place to let people do their work, IT is consumed with increasing the levels of automation, making more parts of the organization automated. It is significant that no IT manager has ever become CEO or CFO of a major corporation, illustrating that the corporate management and IT functions are different.

IT organizations have become more complex, managing more endpoints that bring more data into the same IT center. The IT departments work to achieve end-to-end connectivity and services with a mandate to move to cloud computing.

In this context, servers, storage, cannot always be moved into a hyper-converged cloud infrastructure. Mellanox intelligent interconnect solutions are a key part of supporting Scalable Infrastructure inside any IT organization, supporting both cloud and existing infrastructure that is in place and functioning.

Mellanox is a leading vendor of semiconductor solutions focused on high-performance interconnect. It has successfully launched several generations of InfiniBand and Ethernet data center products. Strong competencies are provided for integrating mixed-signal processing and integrating complex ICs. Software development capability is a key strength because all complex integration is managed with software.

Software allows offering more complete solutions. A significant portfolio of intellectual property, IP, permits Mellanox to offer industry leading integration of signals at the chip level. This is a major shift in the way IT is conducted with integration of systems previously happening at the API level. Mellanox has 407 issued patents.

According to Susan Eustis, lead author of the team that wrote the study, 'Market growth is a result of the ability of the adapters to work inside a fiber infrastructure data center and to manage data transport inside the data center faster, to create any node to any node data transmission within the data center, and to process the mountains of data being generated by digital economy up to 1,000 times more efficiently than is now the case with traditional systems.'

Scalable Data Center Market Forecasts

Scalable wired infrastructure Adapter Processor market forecast indicates that markets at $1.9 billion in 2017 are expected to reach $9.8 billion dollars worldwide by 2023. These represent a very specialized type of analytics systems able to address a wide range of issues that can be newly managed with digitization. Steady growth is anticipated because the adapter units are offering breakthrough node to node integration capabilities that further automates a data center. Steady growth is anticipated because the adapter units are the best device for implementing efficient operations at low cost.

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SCALABLE DATA CENTER WIRED ADAPTER PROCESSORS: MARKET SHARES, MARKET STRATEGIES, AND MARKET FORECASTS, 2017 TO 2023

SCALABLE DATA CENTER WIRED ADAPTER PROCESSOR: EXECUTIVE SUMMARY

Scalable Data Center Wired Adapter Processor Market Driving Forces
  Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
  Suppliers Of Intelligent Interconnect Solutions
  Data Growth Continues to Drive Infrastructure Scalability
Scalable Infrastructure Data Center Adapter Processor Adapter ProcessorMarket Shares:
Scalable Wired Infrastructure Adapter ProcessorMarket Forecasts:
2.1 Scalable Data Center Wired Adapter Processor Market Driving Forces
  2.1.1 Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
  2.1.2 Suppliers of Intelligent, Highly Scalable Interconnect Solutions
  2.1.3 Data Growth Continues to Drive Infrastructure Scalability
2.2 Scalable Infrastructure Data Center Adapter Processor Shares:
2.2 Scalable Wired Infrastructure Adapter Processor Market Forecasts:

1. SCALABLE DATA CENTER WIRED ADAPTER PROCESSORS: MARKET DESCRIPTION AND MARKET DYNAMICS:

1.1 Critical Challenge of Handling Exponentially Expanding Volumes of Transactions And Data
  1.1.1 IT is Everything for the Business
1.2 End-To-End High-Performance Interconnect Products and Solutions for Artificial Intelligence
  1.2.1 Scalable Infrastructure Data Center Components
  1.2.2 Server Computing and Traditional Storage Systems Being Replaced
  1.2.3 High-Performance Interconnect Solutions Value
  1.2.4 High-Performance Interconnect Solutions Replace Existing Server Architectures
1.3 Challenges Addressed by High-Performance Interconnect Adapter Processor
  1.3.1 High-Performance Interconnect Adapter Processor Manage Increasing Complexity
  1.3.2 Advantages of InfiniBand
  1.3.3 Scalable Computing Uses a Network to Enhance Processing Performance
1.4 Superstar Companies That Are Able to Leverage IT to Achieve Growth
  1.4.1 Using Digital Technology To Create Market Disruption

2 SCALABLE DATA CENTER WIRED ADAPTER PROCESSOR: MARKET SHARES AND MARKET FORECASTS

2.1 Scalable Data Center Wired Adapter Processor Market Driving Forces
  2.1.4 Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
  2.1.5 Suppliers of Intelligent, Highly Scalable Interconnect Solutions
  2.1.6 Data Growth Continues to Drive Infrastructure Scalability
2.3 Scalable Infrastructure Data Center Adapter Processor Shares:
  2.2.1 Broadcom
  2.2.2 IBM's OpenPOWER Initiative
2.3 Scalable Wired Infrastructure Adapter Processor Market Forecasts:
  2.3.1 Facebook Fabric Next-Generation Data Center Network Design: Pod Unit of Network
  2.3.2 Mega Data Center Server Pods
  2.3.3 Exchange Of Data Between Servers Represents A Complex Automation Of Process
  2.3.4 Network Disaggregation
  2.3.5 Scalable Infrastructure Data Management Component Application Segments
  2.3.6 Super Computing
2.4 Scalable Infrastructure Data Center Data Growth
2.5 Scalable Infrastructure Data Center Components Challenges
2.6 Scalable Infrastructure Data Center Component Prices:
2.7 Scalable Infrastructure Data Center Components Regional Segments:

3. SCALABLE DATA CENTER INFRASTRUCTURE ADAPTER PROCESSOR PRODUCTS:107

3.1 Broadcom
3.2 Quanta
3.3 Mellanox Delivers ConnectX-4 LX for the IBM z14
  3.3.1 Mellanox IBM z14 Supporting Resources:
  3.3.2 Mellanox Leading Supplier of InfiniBand ICs
  3.3.3 Mellanox Leading Supplier of Scalable Infrastructure Ethernet Adapters
  3.3.4 Mellanox Strategy
  3.3.5 Mellanox NPS Next Generation Network Adapter Processor Unit (NPU)
3.4 Intel Omni-Path Architecture (Intel® OPA)
  3.4.1 Intel / Mobileye
3.5 IBM
3.6 Facebook Aggregation Adapter Processores Are Lashed Together Through a Set Of Non-Blocking Spine Adapter Processores
  3.6.1 Google Network Called Jupiter
3.7 Microsoft Cloud Data Center Multi-Tenant Containers
  3.7.1 Microsoft Azure Running Docker Containers

4. SCALABLE DATA CENTER INFRASTRUCTURE ADAPTER PROCESSOR RESEARCH AND TECHNOLOGY:

4.1 InfiniBand
4.2 High-Performance Mixed-Signal IC Design
  4.2.1 PCI Advanced Interfaces
  4.2.2 System Hardware Technology
  4.2.3 System Software Technology
4.3 OpenCAPI Standard
4.4 Open Compute Project
  4.4.1 Top-of-the-Rack (ToR) Adapter Processores
  4.4.2 Programmable Networks
  4.4.3 SDN Ecosystem
  4.4.3 Facebook Mega Datacenter Physical Infrastructure
  4.4.4 Facebook Automation of Mega Data Center Process
  4.4.5 Fabric Depends on Scale
  4.4.6 Facebook Fabric Operates Inside the Data Center
  4.4.7 AWS Datacenter Bandwidth
  4.4.8 Amazon (AWS) Regional Data Center
  4.4.9 Map of Amazon Web Service Global Infrastructure
  4.4.10 Rows of Servers Inside an Amazon (AWS) Data Center

5. SCALABLE DATA CENTER INFRASTRUCTURE ADAPTER PROCESSOR COMPANIES144

5.1 Alphabet / Google
  5.1.1 Google Adapter Processores Provide Scale-Out: Server And Storage Expansion
  5.1.2 Google Uses Adapter Processores and Routers Deployed in Fabrics
  5.1.3 Google Mega Data Center Multipathing
  5.1.4 Google Mega Data Center Multipathing: Routing Destinations
  5.1.5 Google Clos Topology Network Capacity Scalability
5.2 Arris / Broadcom
5.3 Broadcom
  5.3.1 Broadcom Mega Data Center Server Pods
  5.3.2 Broadcom Non-Blocking Network Architecture
  5.3.4 Broadcom Revenue
  5.3.5 Broadcom / Emulex
  5.3.6 Broadcom Emulex Corporation
5.4 Brocade
  5.4.1 Brocade Orchestration Software
5.5 Cavium Networks
  5.4.1 Cavium Acquisition of QLogic
  5.4.2 Cavium Revenue by Segment
  5.4.3 Cavium Regional Revenue
5.5 Cisco
5.6 Facebook Pods
  5.6.1 Facebook Sample Pod: Unit of Network
5.7 IBM
5.8 Intel
  5.8.1 Intel Premier Computer Chip Maker
  5.8.2 Intel Buys Mobileye
Intel Acquires Mobileye
  5.8.3 Intel / Mobileye
  5.8.4 Intel Company Strategy
  5.8.5 Intel In The Internet Of Things Market Segment
  5.8.6 Intel Competitive Advantages
5.9 Mellanox Technologies
  5.9.1 Mellanox Interconnect Solutions Increase Data Center Efficiency
  5.9.2 Mellanox High Performance Solutions
  5.9.3 HPE Chooses Mellanox Spectrum To Power StoreFabric M-series Adapter Processores
  5.9.4 Mellanox Converged Ethernet Storage Fabric
  5.9.5 Mellanox Technologies Revenue
  5.9.6 Mellanox Acquisition of EZchip
  5.9.7 Mellanox Spectrum Ethernet Adapter Processor
  5.9.8 Spectrum, the Eighth Generation Of Adapter Processoring IC Family from Mellanox
5.10 Nvidia
  5.10.1 NVIDIA
  5.10.2 Nvidia Revenue
5.11 Walmart
5.12 ZT Systems

WINTERGREEN RESEARCH,

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Market Research Study
WinterGreen Research Global Market Intelligence Company

LIST OF TABLES AND FIGURES

Abstract: High-Performance Adapter Processores Implement Software Defined Data Center
Figure 1. Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
Figure 2. Data Growth Continues to Drive Infrastructure Scalability
Figure 3. Scalable Data Center Wired Adapter Processor Market Shares, Dollars, 2016
Figure 4. Scalable Infrastructure Adapter ProcessorMarket Forecast, Dollars, Worldwide, 2017-2023
Figure 5. Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
Figure 6. Data Growth Continues to Drive Infrastructure Scalability
Figure 7. Scalable Data Center Wired Adapter Processor Market Shares, Dollars, 2016
Figure 8. Scalable Wired Infrastructure Adapter Processor Market Forecast, Dollars, Worldwide, 2017-2023
Figure 9. Real Time Data Center Functions
Figure 10. IT Interconnect Solutions Trends
Figure 11. Scalable Infrastructure Fabric Based On Network Adapters And Adapter Processor Replacing Category 5 Ethernet
Figure 12. Big Data IT Analytics Requirements
Figure 13. Wired Scalable Infrastructure Datacenter Cap Ex Spending Market Shares Dollars, Worldwide, 2016
Figure 14. High-Performance Interconnect Solutions Functions
Figure 15. Scalable Data Adapter Processor Architecture Functions
Figure 16. Interconnect Solutions Processing Transition Trends
Figure 17. Interconnect Solutions Deployment Trends
Figure 18. Interconnect Solutions Support Requirements
Figure 19. Interconnect Solutions Requirements By Data Centers
Figure 20. Interconnect Solutions Artificial Intelligence Support Functions
Figure 21. Scalable Computing Uses a Network to Enhance Processing Performance
Figure 22. Scalable IT Infrastructure Data Center Adapter Processor Market Driving Forces
Figure 23. Data Growth Continues to Drive Infrastructure Scalability
Figure 24. Scalable Data Center Wired Adapter Processor Market Shares, Dollars, 2016
Figure 25. Scalable Infrastructure Datacenter Adapter Processor Revenue Market Shares Dollars, Worldwide, 2016
Figure 26. Mega Data Center Pods with Server Cabinets Top Of Rack (TOR) Adapter Processores Aggregated in CLOS Architecture
Figure 27. Inside Google’s Data Center
Figure 28. Google Data Center Networking
Figure 29. Scalable Wired Infrastructure Adapter Processor Market Forecast, Dollars, Worldwide, 2017-2023
Figure 30. Scalable Datacenter Networking Adapter Processor Solution Infrastructure Markets, Dollars, Forecast, Worldwide, 2017-2023
Figure 31. Scalable Datacenter Networking Adapter Processor Solution Infrastructure Market Segments, High Performance Computing HPC, Global Banks, Automotive Manufacturers, Pharmaceutical Companies, Oil and Gas Companies, Dollars, Forecast, Worldwide, 2017-2023
Figure 32. Scalable Datacenter Networking Adapter Processor Solution Infrastructure Market Segments, High Performance Computing HPC, Global Banks, Automotive Manufacturers, Pharmaceutical Companies, Oil and Gas Companies, Percent, Forecast, Worldwide, 2017-2023
Figure 33. Fabric Adapter Processores and Top of Rack Adapter Processores, Facebook Took a Disaggregated Approach
Figure 34. Using Fabric to Scale Capacity
Figure 35. Facebook Fabric: Pod Unit of Network
Figure 36. Server Pods Permit An Architecture Able To Implement Uniform High- Performance Connectivity
Figure 37. Exchange Of Data Between Servers Represents A Complex Automation Of Process87
Figure 38. Questions Relevant to Disaggregated Network Solution, Looking Inside The Underlying Adapter Processor Silicon
Figure 39. HPC and Machine Learning Share Same Interconnect Needs Mellanox Positioned to Capture Significant Share
Figure 40. Mellanox End Markets
Figure 41. Adapter Processor Wired Scalable Infrastructure Market Trends
Figure 42. Scalable Infrastructure
Figure 43. Cloud Converged Infrastructure
Figure 44. Mellanox Supercomputer Acceleration Market Share
Figure 45. Broadcom's BCM53282 RoboAdapter Processor Managed 8-Port Fast Ethernet Adapter Processor
Figure 46. Broadcom's BCM53125 7-Port Integrated GbE Energy-Efficient Ethernet Adapter Processor
Figure 47. Ethernet Adapter Processor Prices
Figure 48. Scalable Data Center Wired Adapter Processor Market Shares, Dollars, 2016
Figure 49. Scalable Data Center Wired Adapter Processor Market Shares, Dollars, 2016
Figure 50. Broadcom High Performance Adapter Processores
Figure 51. Quanta Next Generation Ethernet Adapter Processor
Figure 52. IBM z14 Data Center with Mellanox Adapter Processor
Figure 53. Mellanox Machine Learning Positioning
Figure 54. Intel Compute
Figure 55. Schematic fabric-optimized Facebook datacenter physical topology
Figure 56. Google Jupiter Network Delivers 1.3 Pb/Sec Of Aggregate Bisection Bandwidth Across A Datacenter
Figure 57. Microsoft Azure Cloud Software Stack Hyper-V hypervisor
Figure 58. Microsoft Azure Running Docker Containers
Figure 59. InfiniBand Performance Improvement over Ethernet and Fibre Channel Networking Standards
Figure 60. SDN Ecosystem Functions
Figure 61. Facebook Schematic Fabric-Optimized Datacenter Physical Topology
Figure 62. Facebook Automation of Mega Data Center Process
Figure 63. FaceBook Data Center Fabric Depends on Scale
Figure 64. AWS Network Latency and Variability
Figure 65. Amazon (AWS) Regional Data Center
Figure 66. A Map of Amazon Web Service Global Infrastructure
Figure 67. Rows of Servers Inside an Amazon (AWS) Data Center
Figure 68. Google Traffic Generated by Data Center Servers
Figure 69. Google Mega Data Center Multipathing: Implementing Lots And Lots Of Paths Between Each Source And Destination
Figure 70. Google Mega Data Center Multipathing: Routing Destinations
Figure 71. Google Builds Own Network Adapter Processores And Software
Figure 72. Google Clos Topology Network Capacity Scalability
Figure 73. Broadcom Server Pods Permit An Architecture Able To Implement Uniform High-Performance Connectivity
Figure 74. Broadcom Non-Blocking Network Architecture
Figure 75. Broadcom Facebook Creating a Modular Cloud 2.0 Mega Data Center Solution
Figure 76. Broadcom Scalable Infrastructure Adapter Processor Applications
Figure 77. Broadcom Key Partners
Figure 78. Broadcom Technology Base
Figure 79. Broadcom Global Presence
Figure 80. Broadcom Core Technologies
Figure 81. Broadcom End Markets
Figure 82. Broadcom End Markets and Market Trends
Figure 83. Brocade Intelligent Automation Leverages the IT Stack
Figure 84. Brocade Adapter Processores
Figure 85. Cavium High-Performance Interconnect Solutions Customers
Figure 86. Cisco HyperFlex Systems Features
Figure 87. Facebook Automation of Cloud 2.0 Mega Data Center Process
Figure 88. Chinese Tech Giant Tencent Teams with Mellanox and IBM to Smash Big Data Analytics Record
Figure 89. Mobileye Provides Intel Access to the Automotive Market
Figure 90. Mobileye Intel Automotive Market Access Features
Figure 91. Mellanox Product Scalability Real Time Improvements
Figure 92. Mellanox Go To Market Strategy
Figure 93. Mellanox Product Scalability Modeling Processing Improvements
Figure 94. Mellanox Application Performance Improvements vs. Competition
Figure 95. Mellanox Image Recognition Benefits
Figure 96. Mellanox Supports Nvidia Deep Learning Supercomputer
Figure 97. Scalable Infrastructure Mellanox View of Adapter Processorand Adapter Processor Market Opportunity
Figure 98. Mellanox Interconnect Solutions Industry Market Penetration
Figure 99. Mellanox Cloud Applications
Figure 100. Mellanox Technologies Customer Base
Figure 101. Mellanox Spectrum Adapter Processor Silicon Functions
Figure 102. Nvidia Interconnect and Memory Parameters
Figure 103. ZT Systems Partners
Figure 104. ZT Systems Computing Evolves Away From The Enterprise Model Toward Cloud Architecture Priorities


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