Komodo AI

AI engineers often face challenges in managing GPU infrastructure for building, training, and deploying models, requiring them to handle complex configurations and resource scaling. This can lead to inefficient resource utilization, increased idle costs, and a slower development process.

Komodo AI offers an end-to-end AI developer platform that abstracts GPU infrastructure management, enabling AI engineers to focus on model development without the complexities of underlying infrastructure. The platform allows users to launch training jobs and scale resources efficiently using a simple YAML configuration. By automating resource allocation and deallocation, Komodo AI eliminates idle costs and streamlines the AI development lifecycle, from development to deployment. The platform supports multi-cloud execution, allowing users to bring their own cloud account or cluster and seamlessly overflow from their cloud to Komodo's.

YAML-based configuration for launching training jobs and scaling resources

Automated termination of cloud instances upon job completion to eliminate idle costs

Multi-cloud execution, allowing users to bring their own cloud accounts

Support for distributed training across multiple nodes

Real-time log streaming from tasks accessible via a dashboard

LLM chat functionality for serving and interacting with Large Language Models

GPU fractioning (coming soon) to rent a fraction of an A100/H100

Komodo AI targets AI engineers, machine learning developers, and data scientists who need a streamlined platform for building, training, and deploying AI models at scale.

Komodo AI offers A100s starting at $1.55/hr and H100s starting at $2.99/hr.