UNIFIED API
Change models.
Not your codebase.
One compatible endpoint keeps experimentation lightweight and production integrations stable.
A high-performance inference cloud for open models. One clean API, tuned infrastructure, and a direct path from prototype to production.
Move fast without treating infrastructure as an afterthought. Trillicon gives your team one surface for model access, routing, observability, and scale.
UNIFIED API
One compatible endpoint keeps experimentation lightweight and production integrations stable.
PERFORMANCE
Purpose-built serving paths balance latency and throughput as your traffic changes.
OBSERVABILITY
Trace requests, watch usage, and understand performance from a single operational view.
Start with shared capacity. Graduate to dedicated endpoints. Bring your own model when the workload demands it.
Talk to an inference engineer ↗Elastic endpoints for prototypes, bursty traffic, and production APIs.
PAY FOR USAGEReserved capacity with predictable performance for critical workloads.
CONSISTENT CAPACITYWorkload-specific deployments with tighter control over data and infrastructure.
BUILT AROUND YOUFAMILIAR BY DESIGN
Point an OpenAI-compatible client at Trillicon, choose a model, and stream. Keep the tooling you already use.
from openai import OpenAI
client = OpenAI(
api_key="$TRILLICON_API_KEY",
base_url="https://api.trillicon.com/v1"
)
stream = client.chat.completions.create(
model="trillicon/auto",
messages=[{
"role": "user",
"content": "Build something remarkable."
}],
stream=True
)
EARLY ACCESS
Tell us what you’re building. We’re working with a small group of teams to shape Trillicon’s first production endpoints.