Designing an AI serving harness built to last

What happened: A sponsored article from EXL argues that enterprise AI advantage now depends less on model choice than on the serving harness around the model, including architecture, memory management, scheduling, and optimization. Why it matters: The piece says production constraints such as latency, concurrency, GPU utilization, and cost should drive architecture decisions, and that an adaptable harness lets model changes become configuration decisions rather than rebuilds.

A sponsored article from EXL argues that enterprise AI advantage now depends less on model choice than on the serving harness around the model, including architecture, memory management, scheduling, and optimization.

The piece says production constraints such as latency, concurrency, GPU utilization, and cost should drive architecture decisions, and that an adaptable harness lets model changes become configuration decisions rather than rebuilds.