# Run Advanced Reasoning on DigitalOcean with Arcee AI's Trinity Large-Thinking

DevFeed: [Run Advanced Reasoning on DigitalOcean with Arcee AI's Trinity Large-Thinking](<https://devfeed.tech/articles/run-advanced-reasoning-on-digitalocean-with-arcee-ai-s-trinity-large-thinking-19939.md>)

Original publisher: [Read original article](<https://www.digitalocean.com/blog/run-advanced-reasoning-with-arcee-ai-trinity>)

Author: DigitalOcean

Published: 2026-04-01T20:09:27Z

Content type: release

Language: en

Sources: [DigitalOcean](<https://devfeed.tech/sources/digitalocean.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Digital Ocean](<https://devfeed.tech/topics/digital-ocean.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>), [API](<https://devfeed.tech/topics/api.md>), [Complex Systems](<https://devfeed.tech/topics/complex-systems.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [applications](<https://devfeed.tech/tags/applications.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [digitalocean](<https://devfeed.tech/tags/digitalocean.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [preview](<https://devfeed.tech/tags/preview.md>), [product-updates](<https://devfeed.tech/tags/product-updates.md>), [serverless](<https://devfeed.tech/tags/serverless.md>)

## AI overview

DigitalOcean announces that Arcee AI's Trinity Large-Thinking is available in Public Preview through its Agentic Inference Cloud. Developers can access the model through Serverless Inference, the Cloud Console, or an API without managing the underlying infrastructure.

## Source excerpt

Today, we're announcing that Arcee AI's Trinity Large-Thinking is now available in Public Preview on DigitalOcean's Agentic Inference Cloud, giving developers the ability to run frontier-class reasoning workloads without managing infrastructure or stitching together complex systems. DigitalOcean is proud to partner with Arcee to bring Trinity Large-Thinking to AI builders, available via Serverless Inference, on day one. Instantly available and queried directly through the DigitalOcean Cloud Console or API alongside the compute, data, and services you already run on DigitalOcean. Why this model, why now Trinity Large-Thinking didn't emerge in a vacuum. It's been pressure-tested in exactly the kind of workloads DigitalOcean is built for. Arcee is a 26-person San Francisco startup that spent nine months building a full open-weight model family from the ground up, with the explicit goal of producing models developers and enterprises could actually own. The result is a family ranging from 4.5B to 400B parameters, and a top-of-stack reasoning model that has earned its place in production. In its first two months, Trinity served over 3.4 trillion tokens on OpenRouter, becoming the most-used open weight model in the U.S., driven by always-on, agentic workloads running continuously. Trinity Large-Thinking builds on that foundation with extended reasoning, stronger multi-turn tool use, and more stable long-running behavior. It ranks #2 on PinchBench (Kilo's benchmark for agentic model capability) at approximately 96% lower price point than the top-ranking model. Developers shouldn't have to choose between a model that can reason and one they can afford to run at scale. Thanks to the partnership between DigitalOcean and Arcee, they don't have to. Built for real-world agent workloads on DigitalOcean Reasoning workloads are long-running, multi-step, and deeply integrated into the rest of your stack. This is crucial for building agents and complex applications that dynamically in