Should I use managed model hosting or self-host on Kubernetes?

It depends on what you’re optimizing for. Here’s the practical shortcut:

Use managed model hosting if you want:

• Fastest time to production
• Less ops burden
• Auto-scaling and monitoring handled for you
• Simple deployment for standard inference workloads
• A smaller team or no dedicated platform/MLOps staff

Typical fit:

• Early-stage products
• Moderate traffic
• Common LLM / embedding / classifier serving
• Teams that value velocity over deep infrastructure control

Self-host on Kubernetes if you need:

• Maximum control over the runtime and networking
• Custom autoscaling, batching, routing, or GPU scheduling
• Strict compliance / data residency / air-gapped environments
• Lower unit cost at large, steady scale
• Tight integration with existing K8s-based platform engineering

Typical fit:

• Large enterprises
• Regulated industries
• Heavy GPU workloads with predictable demand
• Teams already strong in Kubernetes and SRE

Main tradeoff

• Managed hosting = lower operational complexity, usually higher per-request cost
• Kubernetes self-hosting = more control and potentially lower cost at scale, but much more engineering and maintenance

A simple decision rule

Choose managed hosting unless one or more of these are true:

1. You have strict security/compliance requirements
2. You need nonstandard serving behavior
3. You already run a mature Kubernetes platform
4. Your traffic is high enough that cost savings justify the ops work

Hidden costs to consider

Self-hosting usually means you own:

• GPU provisioning and bin-packing
• Autoscaling logic
• Model rollout/rollback
• Observability and alerting
• Load balancing, queueing, and retries
• Security patches and cluster maintenance

Managed hosting usually means you give up:

• Some customization
• Some cost efficiency at scale
• Some control over where/how the model runs

Practical recommendation

• If you’re unsure: start managed
• Move to Kubernetes self-hosting when you can clearly articulate:
  • cost savings,
  • compliance need,
  • or a specific technical requirement managed hosting can’t meet.

If you want, I can give you a decision matrix for your exact situation based on:

• traffic volume,
• model type,
• latency target,
• GPU needs,
• compliance constraints,
• and team size.