Services

Three primitives.
One open stack.

Inference, storage, and fine-tuning — each service stands on its own, or composes into an end-to-end pipeline from raw dataset to a model served in production.

01

Inference

PipeNetwork.AI our inference platform ↗

PipeNetwork.AI is where you run inference with us. Serve frontier and open-weight models at scale with low time-to-first-token and autoscaling that follows your traffic — drop-in compatible with the tools you already use.

  • OpenAI-compatible API & SDKs
  • Streaming, batching & structured output
  • Autoscaling GPU fleets, pay-per-token
  • Dedicated endpoints for steady workloads
Start serving on pipenetwork.ai
02

Storage

Durable, versioned storage built for models and datasets. Content-addressed and replicated, with instant retrieval and a full provenance trail for every artifact you keep.

  • Content-addressed, deduplicated objects
  • Immutable versions & lineage tracking
  • Petabyte-scale, geo-replicated durability
  • Hot retrieval straight into inference
03

Fine-tuning

Adapt open models to your domain with managed training that handles the infrastructure for you. Run evals in the loop, then deploy the result to inference in a single step.

  • LoRA, QLoRA & full-parameter tuning
  • Managed data pipelines & checkpoints
  • Built-in evaluation & comparison
  • One-step deploy — weights stay yours

The platform

One API from dataset to deployment.

Store, tune, and serve through a single interface — no glue code stitching three vendors together, and no hand-off where your data leaves your control.

Explore PipeNetwork.AI, our inference platform
01 / Store

Push datasets and base models into versioned, content-addressed storage.

02 / Tune

Kick off a managed fine-tune with evals running alongside every checkpoint.

03 / Serve

Deploy to an autoscaling, OpenAI-compatible endpoint on PipeNetwork.AI in a single call.