Infrastructure · Established · Intermediate
AI Infrastructure
The hardware, storage, networking and platform software that AI workloads run on.
What AI Infrastructure is
AI infrastructure spans accelerators, high-bandwidth interconnects, object storage for datasets, orchestration for jobs, vector and feature stores, and observability.
How it works
Teams either rent managed platforms or operate clusters with schedulers, checkpointing and failure recovery, since long training runs will lose nodes and must resume cleanly.
Why it matters
Infrastructure decisions lock in cost structure and data residency for years, well beyond the lifetime of any individual model.
Common uses
- →Training clusters
- →Inference platforms
- →Data and feature pipelines
Strengths
- ✓Control over cost and residency when self-hosted
Watch for
- ✓Operational complexity
- ✓Capital intensity
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