Use cases
One platform. Full lifecycle.
Experiment to production without replatforming — the RunPod lesson, runaii edition.
412 tok/s
peak, fastest model
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 →100k
requests per job
Batch API (beta)
Evals, backfills, and bulk scoring — async, without holding a connection.
Read the playbook →top-5
reranked, cited passages
Enterprise RAG that cites
Embed, retrieve, rerank, answer — with cached prefixes and audit trails.
Read the playbook →1.05M
context, text-only
Long-context production
Text models behind one key — vision is not served yet.
Read the playbook →