As AI moves into production, your clients may be facing a question that goes well beyond selecting an AI platform. Where should those workloads actually run?
In a new ChannelE2E article, Tim Burke, President and CEO of Quest Technology Management, looks at the trade-offs between public cloud and dedicated infrastructure, including cost predictability, compliance, performance, latency, and data control.
For technology advisors, this creates an opportunity to help clients evaluate their requirements, workload by workload, and determine the infrastructure approach that best supports the business.
If this topic is coming up with one of your clients, connect with your Quest Channel Partner Manager. We can help you work through the infrastructure considerations and support the client conversation.
