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Own your intelligence
with Triody

A dedicated endpoint built around your traffic and a model trained on your data. Both keep getting better after they ship, run by a system that improves with every customer.

Dedicated

The intelligence your product actually owns

Bring the model, a sample of real traffic, and a target. We build the endpoint around them, train the model on your data, and keep improving both after they go live.

requestsp502561k4k16kinput tokens per request

Inference, built around your traffic

Your real request mix, not a generic benchmark, decides kernels, engine, batching, quantization, and the card.

lossckpt 1ckpt 2ckpt 3trainheld-out evalsteps

A model trained on your data

Post-train an open model on your data and your outcomes. The weights are yours, and they serve on the same endpoint.

candidatemust passcorrectnessheld-out trafficp95 TTFT within SLOcost per tokenVERIFIED

Verified before it ships

Every candidate, a config or a checkpoint, has to hold correctness and your SLO on held-out traffic before it replaces what runs.

Never finished

Traffic drifts, models update, new cards land. The system measures again and adapts, and only verified gains ship.

1.0x1.5x2.0x2.5x1.0xBaseline1.4xEngine tuned1.9xKernels fused2.6xTraffic re-tunednextIllustrative target curve: speedup over the default serving config, same model, same card.
Technology

One loop across the whole stack

The fastest setup is never a single switch. Kernels, serving engine, batching, quantization, hardware, traffic shape, and the weights themselves all push on each other.

  1. Find the bottlenecks

    Profile the stack on your real traffic to see where latency or throughput is lost: scheduling, decoding, kernels, memory pressure, or hardware fit.

    share of step time, by causeschedulingprefill queuedecode kernelsweight readsbottleneckhardware fit
  2. Try many paths

    Generate candidates across batching, decoding, quantization, engines, kernels, hardware, and training recipes, and measure every one of them.

    throughputp95 latencybaselineverified frontiercandidatefailed a gate
  3. Ship the measured winner

    Promote the fastest verified candidate, then keep profiling production traffic as load, models, and hardware change. Every solved endpoint shortens the next search.

    goodput of what servespromotepromotepromotestablecanarysearchtime