Fast Track Your Enterprise AI
The emergence of generative AI (GenAI) has prompted organizations to rethink their AI plans and accelerate timetables.
However, in a recent survey of 650 IT decision-makers, DevOps and platform engineering professionals, many organizations aren’t sure how to get started with GenAI.
Chief among their concerns are:
- IT infrastructure deficits: 91% of respondents said IT infrastructure needs to be improved to support AI workloads.
- Ensuring data security and resilience: Data security, resilience and scalability are key challenges for enterprise AI.
- Lack of skills: 100% of organizations said they require additional skills to support AI-related initiatives over the next 12 months.
Before deploying AI, consider these three general approaches:
- Rely exclusively on cloud. Using the cloud for AI experimentation, development and production of AI apps is an option, but it can be expensive. You’ll compete for cloud resources with everyone else and you may be putting your data at risk.
- Build a custom AI stack in datacenters and at the edge. This approach takes significant expertise and time and should only be considered if you have in-house expertise or a committed partner. Otherwise, your AI progress is likely to be slow and missteps frequent.
- Choose a turnkey solution. A turnkey solution can enable even inexperienced teams to get started quickly with best-in-class hardware and AI software that increases flexibility.
This eBook examines the pain points that teams face as they plan for AI and explains how the Nutanix Cloud Platform and Nutanix GPT-in-a-Box can simplify the path to production for AI – on-premises, in the cloud and at the edge – yielding better results in less time.