Qloud/ TOKEN FACTORYOpen Models

Qloud.sh / agentic token factory

The token factory that rewrites itself.

Agents tune every layer, from cloud routing to GPU kernels. Faster and cheaper, with output quality held.

Explore the system

01 One workload contract

02 Every layer observable

03 Every candidate measured

04 Every promotion reversible

System / 01

One objective. Every layer.

Performance comes from how software, hardware and demand interact. Every agent works one objective in one measured context.

Follow the control loop

Method / 02

Agents do not tune blindly.

Production behavior becomes a bounded experiment. Baselines, rejected paths and failures all stay on the record.

  1. 01

    Observe

    Capture the workload, traces, cost and quality.

  2. 02

    Diagnose

    Find the active constraint, not the habitual one.

  3. 03

    Generate

    Produce bounded changes across the eligible stack.

  4. 04

    Benchmark

    Replay the workload against the retained baseline.

  5. 05

    Gate

    Reject quality, reliability and latency regressions.

  6. 06

    Deploy

    Promote gradually, rollback ready.

Workloads / 03

The optimal stack changes with the work.

01

Agent systems

Long context, tool calls, irregular decode

02

Code generation

Large prompts, interactive output, strict tails

03

Retrieval

Shared prefixes, reranking and embeddings

04

Batch intelligence

Deadline-aware work optimized for goodput

Open models / 04

Open models, one API.

The same stack runs a public fleet. Point an OpenAI-compatible client at Qloud: serverless, elastic, dedicated or batch.

Open model access