Solutions · Post-Training

Make a general model yours

SFT, preference tuning and distillation pipelines that take open models from "pretty good" to "production-grade" — then deploy straight to endpoints.

Data to dataset

Turn production logs and domain data into curated training sets with DataOps and Data Lab — quality gates included.

Pipelined tuning

SFT, RLHF and distillation workflows on managed GPU capacity — reproducible, versioned, resumable.

Straight to serving

Finished checkpoints deploy to Token Factory endpoints in one step, with the same per-token economics.

The loop, closed

Serve, log, curate, tune, redeploy. Post-training on Infraeon is a flywheel: every production day makes the next model version better — and ModelOps keeps every iteration tracked.

  • SFT / RLHF / distillation pipelines
  • Versioned datasets and checkpoints
  • One-click deploy to inference endpoints
Diagram of the post-training loop: serve, log, tune, deploy

Start your journey today

Tell us about your workload — an engineer, not a sales bot, will get back to you within one business day.