Companies in the category 'AI Infrastructure'

RadixArk is an infrastructure-first company building large-scale AI inference and training systems. It is the commercial entity behind SGLang, an open-source inference engine originally developed at UC Berkeley, and Miles, an enterprise-facing reinforcement learning framework for LLM and VLM post-training. The company offers hosted inference services built on top of its open-source tooling, targeting AI teams that need fast, cost-efficient model serving at scale.

Inferact is a startup founded by the creators and core maintainers of vLLM, the most widely adopted open-source LLM inference engine. The company's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.

Daytona provides secure, elastic infrastructure for running AI-generated code, enabling developers and AI agents to execute code in isolated sandbox environments. Founded in 2023 by the team behind Codeanywhere, the platform delivers sub-90ms sandbox creation, stateful environments with persistent state, and massive parallelization for concurrent AI agent workflows. Daytona supports programmatic control via File, Git, LSP, and Execute APIs, and is designed to meet enterprise compliance requirements including HIPAA, SOC 2, and GDPR.

Modular is an AI infrastructure company that builds a unified compute platform for developing and deploying generative AI applications. Its products include MAX, a high-performance AI inference engine, and Mojo, a Python-compatible programming language designed for high-performance AI and systems programming on CPUs and GPUs.