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Autonomous Vehicle Adoption Hinges on Public Cloud Platforms

Autonomous Vehicle Adoption Hinges on Public Cloud Platforms


  • September 30, 2024
  • AI

Autonomous Vehicle Cloud Platforms

Are you ready to ride in an autonomous vehicle? The world has a way to go before people fully trust self-driving cars and their use reaches critical mass. However, the global autonomous vehicle market continues to expand rapidly. Market analysts projected it to grow from $1.9 trillion in 2023 to $13.6 trillion by 2030, an average annual growth of 32.3%.

As the industry grows and data volumes balloon, the ability of autonomous vehicles to perform efficiently and safely hinges on the capacity of public cloud platforms. Whether controlling a handful or hundreds of cars all at once, the systems directing cars will need to tap into a scalable, on-demand IT infrastructure.

Massive Amounts of Data to Process

Ideally, that infrastructure is geographically dispersed across regional data centers to deliver compute power to the edge—as close as possible to the vehicles. Autonomous vehicles also require High-Performance Computing resources to process, store, and analyze massive amounts of data. Research from Lucid Motors (via Visual Capitalist) suggests modern software-defined vehicles produce anywhere between 1.4 and 19 terabytes of data an hour. That’s an increase of over 5,000% in just 10 years.

With this exponential increase in the amount of data, storing and managing it presents a formidable challenge. The data also needs significant processing power for real-time analysis. For these requirements, cloud infrastructures must offer speed, customization, reduced costs, and efficient processing.

How Public Cloud Providers Solve the Challenges

Public cloud providers have the answer to all these challenges. They allow self-driving vehicle management companies to offload, process, store, and access data from anywhere 7/24. Providers with High-Performance Computing capabilities can also enable machine learning and other artificial intelligence tools.

These technologies streamline information exchanges between traffic and vehicle data and permit autonomous vehicles to communicate and learn from each other. End-to-end cloud platforms also enable fleet management companies to develop, train, deploy, and improve AI algorithms and models continuously. This will increase passenger safety and improve driving experiences.

In addition, the cloud facilitates autonomous vehicle software enhancements. Over-the-air updates can take place constantly to improve functionality, resolve bugs, and adapt to changing road conditions.

Vehicle fleet managers also must consider security. Breaches could have dire repercussions. Public clouds solve this challenge, too, with advanced encryption and security protocols to protect sensitive information. They staff their data centers with dedicated security analysts to monitor and mitigate threats quickly.

Disaster recovery is vital for every business, but perhaps more so for the autonomous vehicle industry. Customers who get stuck in the middle of nowhere because a server goes down won’t be customers for long. The leading public cloud providers offer automatic server failover within their data centers as well as the ability to switch to a data center in another region should a natural disaster strike.

A Hybrid Option to Public Clouds

Besides public cloud providers, fleet management companies with autonomous vehicles also can turn to colocation data center providers that offer bare metal solutions. This hybrid hosting option combines colocation and public cloud infrastructure to deliver compute horsepower and the freedom to choose any operating system, application, and data management tools.

Bare metal environments enable business outcomes that are unique to the autonomous vehicle industry. Customers also can implement their preferred application containers, software architectures, end-user productivity platforms, databases, front-ends, back-ends, analytics, security controls, and automation.

To Learn More

Many companies unintentionally create a hybrid IT infrastructure that could add complexity, cost, and risk. However, with an intentional, proactive, and well-defined hybrid IT strategy—that includes on-premises, colocation, private, and public cloud options—your company can achieve the agility, performance, and security you require.

To assess your readiness for a hybrid environment that combines the public cloud and colocation capabilities, check out Hybrid IT Infrastructure: Proactive Planning and the Right Provider Make All the Difference. To learn more about hybrid public cloud solutions for autonomous vehicle technology, contact DataBank today.

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