Businesses worldwide are anxious to take advantage of evolving AI development environments and applications. As enterprises become familiar with the capabilities and advantages of deploying AI-powered applications, each is defining unique use cases that improve productivity and create competitive advantage. However, these AI use cases are creating new infrastructure bottlenecks. AI applications require that large amounts of data be securely captured and stored from many distributed devices, cloud and data storage locations that are frequently updated.
While the Internet is the network component of software and IT platforms for many businesses; AI developers, applications, data and users require a more reliable and secure approach. Communication Service Providers (CSPs) sell network infrastructure and are in the unique position to offer secure, sovereign AI infrastructure-as-a-service solutions. By partnering with a cloud provider that is focused on deploying and enabling industry-specific AI infrastructure, CSPs can quickly go to market with AI infrastructure solutions that deliver value-added business services and monetize existing data center investments.
AI infrastructure is unique
Customized AI platforms and toolsets enable engineers to define industry-specific use cases customized to individual businesses. These AI platforms help developers embed AI and machine learning into applications and manage AI-powered applications. A platform that can automate the provisioning and configuration of all the resources needed to build, train, deploy, and optimize AI applications accelerates time-to-market while freeing scarce and expensive AI development resources to focus on AI applications.
Yet AI infrastructure is about more than data transfer and network capacity. Enterprises implementing AI solutions require more than high-speed network connections. Specifically, providers of AI infrastructure must also deliver:
- Privacy/Security – Security and sovereignty demands are tightening. CSPs invest billions in security and are trusted suppliers of secure connections.
- Scalability – Leading edge processors, automated operations and global presence enable AI infrastructure to scale.
- Agility – Automated management of resources and data transfer to dynamically and accurately adjust capacity and move workloads.
- Reach – Rapidly defining and executing secure, diverse configurations consistent with changing global business demands.
- Latency – On-demand access to secure connections and resources that are close to users regardless of location.
- Predictable pricing – Reliable, consistent cost structures and options that enable businesses to manage growth, capabilities and costs.
- Flexible infrastructure – Industry-purposed architectures customized to meet specific client needs and seamless integration with existing systems.
- Quality – AI infrastructure delivered as a managed service ensures reliability and transparency for the business.
The perfect partners for AI infrastructure are CSPs aligned with a dedicated global, automated cloud infrastructure provider. CSPs continue to invest in security and privacy and ensure that the billions of networked transactions executed every minute are secure, reliable and accurate. Teamed with a global cloud infrastructure provider, CSPs can deliver secure, capable AI infrastructure as a service to businesses worldwide.
Anatomy of an AI Infrastructure Platform
Businesses collect and have access to massive amounts of data that, properly assessed and analyzed, present numerous opportunities to increase productivity and create competitive advantage. The data volume required to successfully execute AI models scales well beyond existing processes and regardless of skill, there is simply too much data available from too many sources for individuals to correlate and analyze in a meaningful way.
Every industry faces unique challenges, and every business is trying to create competitive advantage using AI. As AI technology and the solutions enabling this revolution evolve, businesses will require flexible AI infrastructure that seamlessly captures, moves and secures all that data.
Businesses evaluating and adopting AI applications have neither the resources nor the desire to configure an AI infrastructure platform that meets all their needs. And many cloud providers are constrained by closed architectures and dependencies that many businesses don’t want or need.
Enter composable AI infrastructure. Composable cloud architecture is customizable across all levels of the cloud stack from the infrastructure layer to the application layer. Structuring individual elements into an industry-targeted composable AI architecture enables businesses of all sizes to meet the demands of whatever type of AI application they want to evaluate or use. By integrating secure, sovereign CSP connectivity and operations management; businesses now have the option to buy customizable AI infrastructure as a service rather than cobbling together disparate elements to create a suitable platform.
Enterprises define AI models and data sources. Then CSPs partner with Vultr to configure an AI infrastructure using industry-specific templates and integrate the fixed and wireless network resources required to support the AI needs of each individual business. The result is a flexible AI infrastructure that is quickly and easily customized to each business with predictable and manageable costs.
Vultr is tuned to industry
The beauty of composable AI infrastructure is that pre-defined configurations that best support individual industries and applications can be quickly customized for each business. The result is faster time-to-market and more predictable costs. Specifically, industry specialization using composable AI infrastructure enables more diverse configurations and efficient allocation of resources while simplifying changes.
Manufacturing – Manufacturers want to leverage AI, 5G, IoT and cloud computing to optimize processes, including predictive maintenance, quality control, and supply chain management for smart factories. Cybersecurity remains a primary concern for every business and globally distributed users, suppliers and devices increase risk exponentially. Working with CSPs and Vultr, manufacturers can implement secure AI infrastructure that includes a secure private network and a cloud platform with seamless integration into existing manufacturing infrastructure. Secure access is facilitated by CSPs in conjunction with the Vultr Cloud Alliance partners including Console Connect, DDN and Virtuozzo.
Health Care/Life Sciences – From accelerating biologics discovery to driving innovations in disease diagnosis and treatment and medical device development, industry demand for AI enabled solutions and secure, high-performance AI infrastructure is skyrocketing. However, efforts are being stalled by existing complex, rigid and expensive cloud AI infrastructure. A secure, private network integrated with Vultr’s global cloud infrastructure addresses the specific needs and demands of drug discovery, biology, genomics, clinical, and surgical sectors, reducing costs, optimizing workflows and enhancing patient care. Activating this AI infrastructure as a service enables doctors and researchers to make the best use of available data while managing costs.
Financial Services – As nearly all financial services offerings now incorporate on-line components, the risk of fraud and security breaches accelerates. Millions of users and systems executing billions of transactions every hour of every day requires both large scale data processing and the highest levels of privacy and data security. Financial services companies have long relied on CSPs for secure, reliable network services and as AI becomes more prevalent in financial solutions, they need the same exacting levels of scale and service from AI infrastructure. CSPs partnered with Vultr and its Cloud Alliance partners can deliver AI infrastructure that meets those strict demands.
Industries of all types are swamped with data volumes that scale beyond existing processes and abilities to make the best use of all this data. AI answers the demand for correlation, distillation and analysis at scale but AI solutions require unique infrastructure that is both globally available and highly secure. The combination of CSP network services, security and reliability with Vultr composable cloud solutions delivers AI infrastructure as a service and accelerates widespread adoption of AI by businesses worldwide.