
The Infrastructure Bottleneck Holding Back AI Adoption at Scale
Most enterprises want to deploy AI across their operations. The bottleneck isn't the models — it's the infrastructure underneath. Legacy systems, fragmented data pipelines, and GPU constraints are slowing adoption.
"Companies keep throwing compute at the problem, but the real constraint is orchestration," says Michael Torres, VP of Engineering at [Your Brand]. "You need an infrastructure layer that abstracts complexity and lets teams ship models without worrying about the plumbing."
Torres, who previously led infrastructure at two public cloud companies before joining [Your Brand], says the market is shifting toward platforms that handle orchestration natively...
"Companies keep throwing compute at the problem, but the real constraint is orchestration," says Michael Torres, VP of Engineering at [Your Brand]. "You need an infrastructure layer that abstracts complexity and lets teams ship models without worrying about the plumbing."
Torres, who previously led infrastructure at two public cloud companies before joining [Your Brand], says the market is shifting toward platforms that handle orchestration natively...





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