Insight Makes AI Building Blocks a Breeze with New AI Infrastructure as a Service

The cloud offers great flexibility, but it doesn't always suit what organizations need to scale artificial intelligence, particularly generative AI, across their business.

Here's the rub: AI initiatives frequently face uncertainty and a disconnect between available resources and a company's data. Questions loom large about project viability. These include: determining whether a new approach requires more or less compute, if needs will change as the approach evolves, and how multiple projects running concurrently will be managed.

Most commercial AI tools and services are cloud-based. Yet, 82% of IT decision makers prefer an on-premises or hybrid AI model since that's where their essential data lives. This leads a lot of organizations down a path where they develop a good generative AI proof of concept. However, demonstrating its value typically falls short, as they struggle with the costs and complexities of expanding it across their entire enterprise.

Fortunately, Insight's AI Infrastructure as a Service (AI-IaaS) pioneers a new industry paradigm in AI implementation. We're introducing unparalleled flexibility, scalability, and cost-efficiency to organizations stuck between a great idea for generative AI and effectively demonstrating and scaling its transformative potential as a business catalyst.