Modular Platform

MAX is Modular’s open and extensible AI inference framework for building and serving models. It supports thousands of model architectures across image, video, speech, and text modalities, exposes OpenAI-compatible endpoints, and can program deployments across multiple GPUs, nodes, and mixed hardware. MAX is part of Modular’s unified stack alongside Mojo, the company’s Pythonic systems language for CPUs, GPUs, and ASICs; Modular describes MAX as providing portable model serving and performance across different hardware platforms.

Modular Cloud is Modular's cloud layer for distributed AI inference, built on the company's unified stack of MAX serving and modeling APIs and Mojo GPU kernels. It provides hosted inference endpoints for open or custom models, with deployments available in Modular's managed cloud or in a customer's VPC; self-hosted MAX and Mojo containers can also run on customer infrastructure. The service is presented as a tunable system in which users can adjust variables across MAX and Mojo and examine performance and cost trade-offs in a cloud lab. Its hardware-agnostic stack targets GPUs, CPUs, and other accelerators, with OpenAI-compatible APIs, custom-kernel support, workload tuning, and observability. Modular describes shared endpoints, dedicated endpoints, and custom-model deployments with per-token or per-minute pricing.

MiniMax is an artificial-intelligence company and model provider offering large language models through hosted APIs, including models designed for coding, reasoning, and tool-using agent workflows. It is used as a model provider by agent frameworks such as Hermes Agent.

An AI API service from MiniMax that provides access to generation capabilities and context preprocessing associated with the MiniMax-H3 language model. The API includes a 2K generation stage and a context preprocessor that are not included in MiniMax-H3's open-weight release.

OpenMAIC (Open Multi-Agent Interactive Classroom) is an open-source AI learning platform from THU-MAIC that turns topics or uploaded documents into interactive classrooms. It generates slides, quizzes, HTML simulations, and project-based learning activities, with AI teachers and classmates that can speak, draw on a whiteboard, conduct discussions, and respond to learners in real time. Its classic generation pipeline has two stages: an AI-generated lesson outline followed by scene generation for each outline item. The platform also provides a database-backed agent workbench that plans, builds, and revises courses through validated tools, with resumable sessions, follow-up steering, uploaded or web-retrieved materials, reusable skills, and support for importing PPTX files. Multi-agent orchestration uses a LangGraph director graph, while the playback and action engines handle classroom state and actions such as speech, whiteboard drawing, spotlights, and laser effects. OpenMAIC supports browser-only storage by default and can use PostgreSQL or S3-backed storage through its swappable storage packages. It accepts document, image, audio, and video materials through configured extraction providers, supports multiple LLM, media, speech, search, and local-provider configurations, and exports editable PPTX slides, interactive HTML, or classroom ZIP files. The repository is licensed under the MIT License, with separate terms for bundled components including an LGPL-licensed MathML-to-Office-Math package.