Enterprise Strategy Group research revealed that early success in AI is common, with 72% of respondents reporting seeing value from in AI initiatives within three months or less.4 However, there are anecdotal examples of initial AI projects experiencing low and even negative ROI. Limitations and even failures occurring early with AI can often be the result of mistakes in infrastructure design.
HPE, in partnership with NVIDIA, is removing deployment-related guesswork. HPE claims a one-click deployment with its HPE Private Cloud AI. Of course, the number of clicks is less important than whether the deployment is simple. Simplicity is what greatly reduces the risk of deployment. To further those simplicity benefits, the AI software in HPE Private Cloud AI is also curated and integrated, including NVIDIA software and AI Essentials from HPE, reducing the complexity of managing the multiple software components necessary for AI initiatives.
In this announcement, HPE is highlighting its generative AI virtual assistant solution accelerator to help developers quickly build interactive, natural language chatbots utilizing open source models informed by an organization’s private data. HPE is also expected to continue to scale its solution accelerator portfolio for HPE Private Cloud AI over time. Ultimately, organizations have a wealth of options when it comes to infrastructure for AI, both on and off premises. What I like about HPE’s approach is its focus on simplicity. A best practice when starting with AI projects is to define a small, contained project through which you can get a “quick win” and provide early value to your business. HPE Private Cloud AI is designed to deliver exactly that.
4. Ibid.