Skip to main content
O

OctoAI

OctoAI provides an AI infrastructure platform that enables developers to efficiently run, tune, and scale generative AI models using advanced systems like XG Boost and TVM. The platform addresses the challenges of deploying and optimizing AI applications by offering customizable model serving, low-latency inferences, and enterprise-grade reliability.

Seattle, United States · HQ
Founded 2019
  • Artificial Intelligence
  • Developer Tools
  • Enterprise Software
  • Software Only
Updated 5 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Jensen Huang

Jensen Huang

Product

Problem

Deploying and optimizing generative AI models presents challenges in achieving efficient performance, managing costs, and ensuring enterprise-grade reliability. Developers face complexities in customizing model serving, achieving low-latency inferences, and adapting to rapidly evolving AI models and infrastructure.

Solution

OctoAI (now NVIDIA) provides an AI infrastructure platform designed to streamline the deployment, tuning, and scaling of generative AI models. The platform leverages systems and compilation technologies like XG Boost, TVM, and MLC to deliver optimized performance and cost-effectiveness. It offers customizable model serving, enabling developers to mix and match models, fine-tunes, and LoRAs at the model serving layer. OctoAI supports rapid iteration with new models and infrastructure without requiring extensive rearchitecting, ensuring applications remain future-proof.

Target Audience

The primary audience includes AI developers, machine learning engineers, and enterprises seeking to efficiently deploy, optimize, and scale generative AI applications while maintaining performance, cost-effectiveness, and data privacy.

Features

  • Optimized serving layer for low-latency GenAI inference at reduced costs
  • Customizable model serving to mix and match models, fine-tunes, and LoRAs
  • Support for state-of-the-art models like Phi 3.5-Vision, Mistral NeMo, and Llama 3.1
  • Retrieval Augmented Generation (RAG) with embeddings for contextual accuracy
  • Automation with AI agents using function calling for improved quality and access to real-time data
  • JSON mode for structured outputs to simplify systems integrations
  • Enterprise-grade reliability with 99.999% uptime and consistent latency SLAs
  • SOC 2 Type II & HIPPA certified for data security and privacy
This profile is AI-generated and may contain inaccuracies.