1、Ecosystem Predictions heres what it takes to be more secure now. We learn from each other as we move the bar along that journey. IoT and Automotive | Survey Responses What is the biggest challenge to achieving the mass deployment of Level 4 vehicles? 14% Legislation 41% Functional safety 14% Securit

2、y 5% Software 2% Hardware 20% User trust/acceptance 4% Cost Dipti Vachani Senior VP & General Manager, Automotive & IoT Line of Business at Arm 19 Ecosystem Predictions and Perspectives2021 19 Infrastructure | Introduction Despite the recent economic downturn, infrastructure remains one of the stron

3、gest growth markets in technology as more companies shift their workloads to the cloud and more individuals come to rely on videoconferencing and broadband to work, keep in touch and perform daily tasks like shopping or watching TV. Cloud providers and carriers, however, are not basking in rosy expe

4、ctations of success. Competition is intense and service level expectations continue to climb. Security was viewed by nearly half (48 percent) as the most important consideration for customers while cost (49 percent) was viewed as the factor that could have the most important impact in moving applica

5、tions to the cloud. The edge is also top of mind, with 30 percent of respondents viewing having a cloud-to-edge architecture as extremely important. 43 percent also added that a distributed cloud architecture, which entails shifting workloads between the edge and the cloud, would become an important

6、 factor in their architectures. The results also showed a growing willingness to experiment with new servers with 56 percent expressing interest in high performance computing in the cloud. Arms infrastructure organization focuses on the semiconductor IP, software and standards needed to build todays

7、 high-performance data centers, networks and edge deployments. Arm technology can be found inside some of the largest hyperscale datacenters in the world. of respondents said cost savings from cloud infrastructure simplification and automation would have the greatest on their organizations future su

8、ccess of respondents use or plan to increase adoption of high-performance computing (HPC) in the near future 49% 56% NB. The results within this section are based on a sample size of 53 responses 20 The pandemic is prompting organizations to think more about the quality of their cloud experience. Do

9、 we have adequate videoconferencing capacity to keep employees connected at home? Is our data consolidated in one place or should it be replicated in multiple locations for more rapid, reliable access? The physical locality of employees, data and customers is being looked at in a new light. In the s

10、urvey, 43 percent predicted distributed cloud architectures would become one of the most important factors in their cloud strategy, second only to cost savings. Expect to see people spend more time and energy looking at multivendor cloud strategies, cloud/ edge/on-premises architectures and other di

11、stributed cloud concepts as a way to ensure better data and application access. Security, naturally, remains a priority. People, in fact, rated security as the most important factor when choosing a cloud provider. While the cloud can improve security, customers also need assurances against third par

12、ties accessing their data, either on purpose or by accident. Enhancing confidentiality, and the perception of confidentiality among users, in a cloud- and edge-centric world will be a concept we hear more about in the coming year. The issue of resilience will come up a lot in 2021 as the pandemic ha

13、s stressed the worlds computing infrastructure in ways we could hardly have imagined. Infrastructure | Insight Chris Bergey, SVP and General Manager, Infrastructure Line of Business at Arm 20 Ecosystem Predictions and Perspectives2021 21 Which of the below outcomes will have the greatest impact on y

14、our organizations future success? How relevant are each of these cloud infrastructure choices for your organization? Trust and integrity - delivering secure and reliable solutions Insight driven operations - predictive and prescriptive Distributed cloud architectures - ability to shift workloads mor

15、e easily based on customer Better customer experiences - on demand and personalized Cost savings - cloud infrastructure simplifi ed and automation Business agility - accelerate time to revenue 0%10%20%30%40%50% 27% 49% 25% 43% 20% 39% 60% 0% 10% 20% 30% 40% 50% 60% Extremely important Very likely Ne

16、utral Low preference No preference Virtualization and cloud native Software defi ned networking Secure infrastructure Scalable infrastructure On-premise compute infrastructure Open infrastructure Managed infrastructure Cloud to edge architecture Business agility accelerate time to revenue Cost savin

17、gs cloud infrastructure simplifi cation &automation Better customer experiences on demand and personalized Distributed cloud architectures ability to shift workloads more easily based on customer requirements Insight driven operations predictive and prescriptive Trust and integrity delivering secure

18、 and reliable solutions 0%10%20%30%40%50%60% 0% 10% 20% 30% 40% 50% 60% Extremely important Very likely Neutral Low preference No preference 0% 2% 4%4% 56% 40% 18% 24% 16% 18% 36% 12% 44% 14% 8% 22% 10% 30% 18% 34% 26% 5% 10% 15% 20% 25% 30% 35% 40% 0% 10% 20% 30% 40% 50% 60% Virtualization and clou

19、d native Software defi ned networking Secure infrastructure Scalable infrastructure On-premise compute infrastructure Open infrastructure Managed infrastructure Cloud to edge architecture ContainersVirtual Machines Bare Metal servers Container virtual machines and bare metal servers Containers and b

20、are metal servers Containers and virtual machines Virtual machines and bare metal servers None of these Other Bare metal services Function as a service Kubernetes (self- managed) Kubernetes (vendor- managed) Content access (web, JVM, Memcached) Database (self- managed) Database (vendor- managed) Con

21、tinuous Integration/ Continuous Deployment (CI/CD) High- performance computing (including EDA) None of the above Other Ecosystem Predictions and Perspectives2021 Infrastructure | Survey Responses 22 The core technology behind infrastructure is in the middle of a quiet revolution. Simply put, cloud p

22、roviders will need technologies that can increase their throughput and performance per rack without causing their equipment requirements or energy budgets to snowball. The providers that can boost performance while lowering costs will win market share. As a result, we will see a tremendous amount of

23、 experimentation in processors, servers, networking equipment and storage. Youll also see continued and growing interest in cloud native technologies like Kubernetes and containers, which provide both cloud providers and their customers a greater degree of agility. Cloud native, along with industry

24、standards for security and hardware, will become an elemental part of the fabric linking the cloud and the edge. It is difficult to predict the future exactly, but when you look at the world we are living in, our insatiable desire for infrastructure connectivity and computing is only accelerating. T

25、his means that providers, equipment and technology must continue to provide seamless technological intelligence that just works. The COVID-19 pandemic hasnt caused this change, but it is certainly accelerating it. Ecosystem Predictions and Perspectives2021 Infrastructure | Survey Responses Which of

26、the following virtualization technologies do you run in your cloud? Which of the following cloud use cases do you currently use or plan to increase adoption of in the near future? Business agility accelerate time to revenue Cost savings cloud infrastructure simplifi cation &automation Better custome

27、r experiences on demand and personalized Distributed cloud architectures ability to shift workloads more easily based on customer requirements Insight driven operations predictive and prescriptive Trust and integrity delivering secure and reliable solutions 0%10%20%30%40%50%60% 0% 10% 20% 30% 40% 50

28、% 60% Extremely important Very likely Neutral Low preference No preference 0% 2% 14% 8% 22% 10% 30% 18% 34% 26% 5% 10% 15% 20% 25% 30% 35% 40% 0% 10% 20% 30% 40% 50% 60% Virtualization and cloud native Software defi ned networking Secure infrastructure Scalable infrastructure On-premise compute infr

29、astructure Open infrastructure Managed infrastructure Cloud to edge architecture ContainersVirtual Machines Bare Metal servers Container virtual machines and bare metal servers Containers and bare metal Containers and virtual machines Virtual machines and bare metal servers None of these Other 4%4%

30、56% 40% 18% 24% 16% 18% 36% 12% 44% 0% 10% 20% 30% 40% 50% 60% Bare metal services Function as a service Kubernetes (self- managed) Kubernetes (vendor- managed) Content access (web, JVM, Memcached) Database (self- managed) Database (vendor- managed) Continuous Integration/ Continuous Deployment (CI/

31、CD) High- performance computing (including EDA) None of the above Other 22 Chris Bergey SVP and General Manager, Infrastructure Line of Business at Arm Ecosystem Predictions and Perspectives2021 23 Arm helps businesses across industries to succeed in developing compute technology that transforms liv

32、es. Our IP technologies, development tools and a world-class ecosystem of support deliver the scalability, performance and efficiency for companies and developers to make their product a success. From supercomputers to tiny sensors, Arm is truly at the heart of everythingwith 180 billion chips shipped by our partners to date in devices that touch more than 70 percent of the worlds population. Visit https:/ / to discover more about Arm solutions and get started on your journey to market. Ready for a new era of compute?