Why private cloud is the choice for AI workloads

It’s fantastic to see Rackspace Technology focusing on the critical role of private cloud in AI inference workloads! This is indeed a game-changer for many organizations looking to optimize their AI strategies. I’m eager to dive into the insights shared in this episode, as understanding these trends is vital for navigating the future of cloud computing. Kudos to the team for tackling such an important topic! Looking forward to more discussions like this!

David Great discussion! The shift toward private cloud for AI inference is accelerating—and for good reason: performance, security, and cost control matter more than ever. Proud to be part of the team helping deliver this model to clients who need the right balance of flexibility and governance.

The discussion on private cloud adoption and its suitability for AI inference workloads is incredibly pertinent, especially in today’s landscape where data security and compliance are paramount. The insights from Simon Bennett and Bryan Litchford on David Linthicum’s Cloud Computing Insider Channel point to critical factors driving this shift. The emphasis on security and regulatory compliance resonates strongly, particularly for industries like healthcare and finance that handle sensitive data. Private clouds offer the control and customization necessary to meet the stringent requirements of these sectors. Additionally, the predictability of costs associated with private cloud environments helps organizations effectively manage budget allocations, a significant advantage over the often-variable costs of public cloud solutions. Moreover, as AI workloads continue to proliferate, the need for low-latency processing cannot be understated. Private clouds excel in providing the performance needed for real-time AI inference without the delays often encountered when relying on distant public cloud resources. The integration of edge computing in hybrid models further enhances this capability, allowing organizations to deploy AI solutions closer to data sources. It's exciting to see that 92% of IT leaders trust private clouds for security and compliance, and this trend shows no signs of slowing down. With the growing emphasis on hybrid multicloud strategies, organizations can enjoy the best of both worlds—leveraging the scalability of public clouds while maintaining the control offered by private ones. I'm looking forward to seeing how private cloud adoption continues to evolve and redefine enterprise IT strategies, especially as the demand for advanced AI capabilities grows. Would love to hear others' thoughts on this shift!