MAX / Mojo (Modular)

Modular provides an AI inference platform for deploying large language models and generative AI workloads (text, image, video, audio) across diverse hardware — GPUs, CPUs, and ASICs from NVIDIA, AMD, Google TPU, AWS Trainium, Qualcomm, Intel, ARM, and Apple Silicon. The company was founded by Chris Lattner (creator of LLVM, Clang, and Swift) and Tim Davis, and was acquired by Qualcomm in July 2026. Its unified inference stack supports 1,000+ models, including MiniMax, DeepSeek, and Kimi K2.7, and reports 2x performance improvements and up to 50% cost savings versus alternative stacks, alongside sub-500ms time-to-first-token in production. Customers cited include MiniMax, Inworld AI, and Hippocratic AI. Pricing runs across three tiers: per-token Shared Endpoints, per-minute Dedicated Endpoints with reserved GPUs, and per-minute Custom Model deployments — genuinely usage-scaled rather than a single flat rate. Good fit for a team deploying LLM or generative-AI workloads that needs hardware portability across multiple chip vendors rather than being locked to one.