The companies with the most control over chip supply on the planet still rent across three cloud providers. That is the fact that should reset how a platform team thinks about AI infrastructure. If a frontier lab with custom silicon deals and over a million of its own accelerators cannot
In today's rapidly evolving AI landscape, organizations are increasingly faced with the challenge of building robust, scalable infrastructure to support their machine learning initiatives. While cloud-managed ML services offer convenience, many enterprises require more control, flexibility, and cost optimization than these services can provide. This is where
