I tested 9 serverless GPU providers for AI inference in 2026

Good companion piece to the self-hosting article because it maps the ‘rent’ side of the market in detail and makes clear that inference platform choice is mostly about workload shape and operational preferences, not one universal winner.

Original source

Logged at IST: 2026-07-16 20:13 IST

What it is: DEV post comparing nine serverless GPU providers for inference, from DigitalOcean and RunPod to Modal, Koyeb, Together, Replicate, Baseten, Fal, and Cloudflare Workers AI.

Gist: The useful value here is not the absolute ranking but the comparison axes: GPU availability, billing model, cold-start behavior, deployment ergonomics, and production-readiness tradeoffs. The author’s practical take is that different providers win for different workload shapes, but the recurring decision variables are still the same ones as the self-hosting piece: latency predictability, cost model fit, control, and how much platform surface area you want around inference.

Newsletter angle: Good companion piece to the self-hosting article because it maps the “rent” side of the market in detail and makes clear that inference platform choice is mostly about workload shape and operational preferences, not one universal winner.