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.

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What you own

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.

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

We run on whatever the numbers favour. vLLM, SGLang, TensorRT-LLM and our own kernels are all candidates, across NVIDIA, AMD and Ascend.

What we publish here

Checkpoints, deployment recipes and benchmark data behind the numbers on our blog. Every number comes with its hardware, quantization, workload shape, and baseline.

Have a model and real traffic? Write to kyriecai.me@gmail.com.