5 key reasons on-premises generative AI outperforms the public cloud (and saves up to 63%)

TL;DR

• On-premises AI offers significant CapEx savings vs private cloud
• On-premises AI ROI is faster than cloud
• On-premises AI offers better data control and risk mitigation than private cloud

While hosting generative AI (generative AI) in the public cloud is a common starting point, many enterprises eventually run into a wall of compliance issues, security vulnerabilities, and unpredictable cloud bills.

A comprehensive total cost of ownership (TCO) report by Principled Technologies reveals that pulling generative AI workloads out of the cloud and onto an onsite infrastructure like the Dell AI Factory completely flips the economic script. Whether you purchase your hardware upfront (CapEx) or utilize flexible consumption with Dell APEX Infrastructure, going onsite gives you ultimate control while heavily padding your bottom line.

Here are five major reasons why an onsite AI factory wins over public cloud alternatives.

1. Massive savings on upfront investments (CapEx)

If your organization prefers a traditional capital expenditure (CapEx) model by purchasing infrastructure upfront, the long-term savings compared to public cloud hyperscalers are staggering. According to the four-year TCO projections, an on-premises Dell AI Factory solution allows you to:

• Save up to 63% compared to a competitive AWS SageMaker environment.
• Save up to 61% compared to a competitive Azure Machine Learning environment.

2. Rapid ROI (1.5-year break-even)

When deploying a massive enterprise technology like generative AI, proving a quick time-to-value is critical for leadership backing. Transitioning to a Dell AI Factory on-premises solution doesn't leave your capital tied up indefinitely. The Principled Technologies data highlights that the on-premises CapEx model reaches a definitive break-even point at just 1.5 years compared to both AWS and Azure alternatives, accelerating your timeline to pure profitability.

3. Pay less from day one with Dell APEX

Don't want to tie up capital in upfront hardware costs? You don't have to sacrifice savings to keep an operational expense (OpEx) model. By choosing Dell APEX Infrastructure, you get a cloud-like consumption experience but with on-premises cost efficiency. The data shows that the APEX infrastructure model lets you pay less from day 1 while delivering massive four-year TCO reductions:

• Save up to 62% against a competitive AWS SageMaker solution.
• Save up to 60% against a competitive Azure Machine Learning solution.

4. Absolute data control and risk mitigation

Beyond pure dollars and cents, keeping your enterprise generative AI onsite resolves the massive security and privacy headaches associated with public clouds.

• Mitigate security risks: Keeping your data onsite allows you to maintain absolute control of sensitive customer data and proprietary company information.
• Avoid compliance hurdles: Moving data into public cloud servers can frequently trigger strict regulatory and compliance violations. On-premises infrastructure guarantees your data never leaves your sight.

5. Built on the industry’s broadest end-to-end portfolio

Saving money doesn't mean compromising on capabilities. The Dell AI Factory is backed by what Dell research identifies as the "world's broadest end-to-end portfolio of technology and services to support AI innovation." This ecosystem seamlessly ties together everything required for a successful, tailored enterprise-grade AI project:

• Robust, workload-engineered infrastructure (from workstations and PCs to high-performance computing servers, storage, networking, and HCI).
• A deeply integrated software and hardware ecosystem tailored to support AI innovation.
• Dedicated expert services to help design and implement solutions around your exact data and specific business use cases.

Wrapping up

Enterprise AI is too critical – and too expensive – to leave running on inefficient cloud APIs. By transitioning workloads to the Dell AI Factory, businesses gain a predictable cost structure, ironclad data security, and a massive four-year TCO reduction of up to 63%.