GPU Control First
Your answers favor picking the GPU SKU and owning the container stack — marketplace rental or reserved clusters over opaque APIs.
Best for: Teams with an existing serving stack (vLLM, TGI, custom), Workloads where VRAM size is non-negotiable, Buyers comparing spot vs on-demand GPU economics
Watch out: You still own ops: images, autoscaling, idle spend, and host quality on marketplaces. Verify current $/hour and availability on the provider site before committing.
Shortlist examples: RunPod, Vast.ai, CoreWeave