Why are we still picking GPUs manually in 2026?
by•
Most AI workflows still require choosing GPUs, regions, and providers upfront.
In practice, that leads to:
overpaying for capacity
jobs failing due to mismatch (OOM, CUDA issues)
time wasted debugging infra instead of running workloads
At what point does this abstraction break?
Should execution be intent-based instead where you describe the workload and the system handles placement?
Curious how others are thinking about this.
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