Step-by-step guides to build your own site · 9 tutorials
Spot GPU Droplets give you self-serve, hourly access to NVIDIA HGX B300 and AMD Instinct MI350X/MI355X GPUs on DigitalOcean, with the price locked when you create the Droplet. The one design rule is that the Droplet can be reclaimed. This tutorial builds the checkpoint-and-resume loop that makes a t
Why routing between Kimi K3 and Claude beats picking one model for every task, and how to set it up with DigitalOcean's Inference Router.
Learn how DOKS handles Spot GPU Droplet reclaims and how to build a Kubernetes cluster that fails over to On-Demand GPUs automatically.
A faster GPU won't fix RAG latency if your database sits far from your model. Why data locality matters more, and how to test it yourself.
DigitalOcean Action Gateway holds your GitHub, Jira, and Postgres credentials so the AI agent never sees them. One managed MCP gateway, one merged pull request.
Compare the best AI inference providers for startups in 2026: serverless token APIs, dedicated endpoints, and GPU rental, with pricing and scaling tradeoffs.
Long-context pricing is billed as linear, but serving cost is not. We measured Ministral 3 14B on a DigitalOcean H200 across 2K-256K tokens: KV cache pool capacity drives a 3.84x cost-per-token rise and a 256K crossover against the $0.20/1M serverless rate.
Learn why teams often move to dedicated inference too early and how to decide when serverless or dedicated inference makes the most sense for your workload.
Understand serverless inference cold starts, what causes latency, how model size and caching affect performance, and which optimizations actually help.
