Democratizing AI Deployment
Deploying AI models remains a very complex problem, due to a deeply fragmented stack of incompatible tooling. The stack can be broken down into four areas: the orchestration layer, compression techniques, compiler infrastructure, and the hardware. We will cover each of these areas, and their unique challenges. When formulating optimal deployment recipes, each of these layers in the stack needs to be considered in a holistic manner, and decisions at one level affect the decision at every
Why deploying AI models is hard due to a fragmented stack, breaking down the orchestration layer, compression techniques, compiler infrastructure, and hardware, and why optimal deployment recipes must consider every layer holistically.
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