UK AI startups make predictable infrastructure mistakes – jumping to hyperscale cloud before product-market fit, over-provisioning, or under-provisioning and panic-scaling during a traffic spike. On our dedicated hosting the sensible ladder for most UK startups looks like this.
Contents
Stage 1: Exploration
Budget: £0-£500/month. Use OpenAI or Anthropic APIs while you work out what the product is. Do not build infrastructure. Pay per-token and keep engineering focused on product.
Stage 2: Early Product
Budget: £500-£2,000/month. First paying or beta users. API spend becoming noticeable. Consider a single 4060 Ti or 3090 server for small model inference. Keep API available as fallback while you de-risk self-hosting.
Stage 3: Paying Customers
Budget: £2,000-£8,000/month. Workload predictable. Upgrade to 5090 or 6000 Pro class hardware for better throughput. Deprecate API fallback except for overflow. Add embedder + reranker on a cheaper second card. Production logging and monitoring in place.
Stage 4: Scaling
Budget: £10,000+/month. Multiple servers with load balancing. Blue-green or rolling deployments. DCGM monitoring, PagerDuty, formal SLAs to customers. Possibly multiple GPU types for different model classes.
The Ladder
| Stage | Users | Stack |
|---|---|---|
| Explore | 0-10 | OpenAI API |
| Early | 10-100 | One dedicated mid-tier GPU |
| Paying | 100-1k | 5090/6000 Pro + observability |
| Scale | 1k+ | Multi-server with load balancer |
Ladder-Friendly UK Hosting
Upgrade GPU tiers as you grow – fixed monthly pricing at each step.
Browse GPU ServersSee GPU tier ladder and SaaS unit economics.
