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Cloud infrastructure has undergone a significant transformation, evolving from manual configuration to deeply programmable systems. Over the past decade, nearly every platform has exposed robust APIs, enabling
As software developers, we're constantly seeking efficiency, whether it's optimizing algorithms, streamlining data flows, or reducing cloud infrastructure costs. But how often do we apply this same rigor to the physical
As developers, we often grapple with the complexity and resource demands of modern AI/ML workloads. Training and inference, especially for large models, typically require substantial cloud infrastructure or specialized
Startup founders face immense pressure to accelerate AI adoption amidst tighter funding and rising costs. While cloud credits, GPUs, and foundation models simplify getting started, early infrastructure choices can lead to unforeseen consequences and hidden costs as companies grow. This blog post explores the challenges and the importance of foresight in the fast-paced AI startup landscape.
