Guide to Managed AI Infrastructure

2024-04-19

Now more than ever, it is essential for enterprises to incorporate AI in their business processes. However due to unpredictable costs, a large skill gap in the industry, and a vast portfolio of potential products to adopt, this incorporation can be nebulous at best, and profit-diminishing at worst.

The AI Infrastructure Challenge

The main challenge when introducing AI in any project is operating the underlying stack that supports the models and applications, also known as AI infrastructure. While similar to regular cloud infrastructures, machine learning tools require a tailored approach to operations in order to remain reliable and scalable, and the expertise needed for this approach is both expensive and difficult to find. Neglecting proper operations can lead to significant issues for your company, models, and processes, which can seriously damage your image and reputation.

Why Managed AI?

Outsourcing AI operations is a feasible option in the current climate. It is a process that involves contracting an external managed service provider that ensures the monitoring, management, and troubleshooting of your AI ecosystems at a predictable cost. This enables you to focus on models, without worrying about infrastructure.

Identifying the right provider depends on experience, available product portfolio, security, and communication practices. It is also worth considering what the handover and post-handover options are and what sort of technologies they use during the management process.

Why read the whitepaper?

With the right provider, you can enjoy predictable costs, peace of mind, accelerated time to market, increased security, and a plethora of other benefits. But how do you pick the right service provider? What considerations do you need to make? This whitepaper outlines not only the benefits of outsourcing your AI operations but also the considerations you need to make to pick the right provider. In this whitepaper you will learn:

Demystifying AI: what does the AI stack look like?
How to maintain scalable MLOps operations?
Why you should consider outsourcing your AI operations?
Canonical’s offering for Managed AI Infrastructure

Additional resources:

Learn more about Canonical’s Managed Services here
Learn more about Canonical’s AI Solutions here
Download the Managed AI Infrastructure datasheet here

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