Use cases
One platform. Full lifecycle.
Experiment to production without replatforming — the RunPod lesson, runaii edition.
211 tok/s
peak MoE class
Production inference
Serverless tokens or warm dedicated GPUs — one gateway, OpenAI-compatible.
Read the playbook →seconds
checkpoint → endpoint
Fine-tuning that ships
SFT → DPO → RL, then deploy the checkpoint in seconds.
Read the playbook →60/min
beta rate envelope
Agents that stay up
Low-latency tool loops, streaming, and spend guardrails for autonomous workloads.
Read the playbook →-50%
vs serverless rate
Batch at half price
Evals, embeddings, re-ranking, and backfills — async, 50% off.
Read the playbook →$0.10
per 1M embed tokens
Enterprise RAG that cites
Embed, retrieve, rerank, answer — with cached prefixes and audit trails.
Read the playbook →4
modalities, one API
Multimodal in production
Vision chat, speech-to-text, and image gen behind the same key.
Read the playbook →