Production-grade LLM inference
Efficiently run the best open source language models at scale with industry-leading reliability and support.
Fine tune, evaluate, and deploy your models, fast
Fine tune your models for specific use cases, then using our LoRA swapping service deploy the best quality model into production for the same cost as the base model.
High quality at low cost
Use fine tunes to deliver better accuracy for specific use cases while cutting your overall costs, up to 25x cost reduction compared to GPT-4o.
Evaluate instantly
Monitor the improvement or loss of quality across your fine tunes.
Control & compliance
Select only the data you want to train on OSS LLMs to help stay compliant and keep your data secure.
You own your data
Your data is never used for training, ever. We are committed to meeting your data compliance requirements.
Sophisticated builders thrive on OctoAI
The right platform plus purpose-fit guidance and support for your Gen AI initiatives.
Unmatched unit economics in production
Pay the same affordable per-token price to run a base model or a fine tune model. There is no additional cost to run your fine tune model.
Customizable quality experiences
Serve and swap LoRA fine tunes fast to provide the best quality for your users from a single endpoint.
Predictably performant infrastructure
99.999% uptime and strikingly consistent latency SLAs.
Trusted by GenAI Innovators
“Working with the OctoAI team, we were able to quickly evaluate the new model, validate its performance through our proof of concept phase, and move the model to production. Mixtral on OctoAI serves a majority of the inferences and end player experiences on AI Dungeon today.”
CEO & Co-Founder @ Latitude
“The LLM landscape is changing almost every day, and we need the flexibility to quickly select and test the latest options. OctoAI made it easy for us to evaluate a number of fine tuned model variants for our needs, identify the best one, and move it to production for our application.”
CEO & Co-Founder @ Otherside AI
Advanced tooling for high-impact GenAI applications
Build state of the art generative capabilities by combining multiple models, checkpoints, custom adaptors, data sources, APIs, and orchestration logic.
Power RAG with embeddings
Using Retrieval Augmented Generation (RAG) to leverage your data to drive high-quality responses for contextually aware features and copilots.
Automate tool use with AI agents
Use Function Calling to build agents that eliminate manual tasks, ensure quality, and enhance productivity.
Generate structured LLM output with JSON mode
Develop modern architecture that integrates deeply with your existing business tools, beyond chatbots and humans-in-the-loop, with structured output.
Stay up to date with new models and features
Latest Models
Phi 3.5-Vision
The newest from the Phi-3 family is a lightweight state-of-the-art multimodal model. This model comes with 128k context length, and was built with a focus on high quality reasoning for both text and vision. This model can use it's reasoning on both text and image inputs, and is available for commercial use.Mistral NeMo
Built in collaboration with NVIDIA this state-of-the-art models has a 128k context window and has an Apache 2.0 license. This model excels at reasoning, coding accuracy, world knowledge, and is multilingual.FLUX.1 [Schnell]
A 12 billion parameter model used to create high quality images from text prompts. FLUX models showcase superiority in creating text in images, high accuracy for human features, and multi-element spaces or landscapes. With super fast generation speeds and a commercial license it can be used for all your GenAI image products.Llama 3.1 Instruct
The Meta Llama 3.1 models are instruction tuned and optimized for multilingual dialogue. Currently, they outperform many open source and closed chat models on several industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.Product & Customer Updates
Natural Language Query Engine powered by Llama 3.1 on OctoAI
OctoAI’s Inference Engine: enterprise-grade, dynamically reconfigurable, natively multimodal
Automating your customer support: Function Calling on OctoAI
In Defense of the Small Language Model
Demos & Webinars
Optimizing LLMs for cost and quality
This technical webinar will review fine tuning models for performance, model quality optimization, devops for LLM apps, and a full demo showing how to fine tune OSS models for better quality than closed models.
Harnessing Agentic AI: Function Calling Foundations
Watch our on-demand webinar about how to create AI agents using function calling for your AI apps. This technical deep dive has a presentation, demo, and example code to follow.
All about fine-tuning LLMs
Listen on-demand to a panel of experts talking about various fine-tunes available, how to create your own fine-tune, alternatives to custom fine-tunes, and more.
Selecting the right GenAI model for production
Watch our on-demand webinar as our engineers review all steps of model evaluation, testing, when to use checkpoints vs LoRAs, and how to get the best results.
Enterprise-grade data protection, security, and support services
Businesses trust OctoAI because we never retain prompts or data to train any model, we’ve earned SOCII Type 2 and HIPAA accreditation, and our extensive support and customer success staff are only a click or call away.
Your choice of models and fine tunes
Start building in minutes. Gain the freedom to run on any model or checkpoint on our efficient API endpoints.