PyTorch Foundation

RadixArk, founded in 2025 in Palo Alto, California, USA, develops AI systems around the SGLang inference engine and Miles reinforcement learning framework, improving model inference and training efficiency by reducing compute and memory requirements.

Mobius Intelligence is the venture led by UC Berkeley PhD student Sijun Tan that pitched at GMI Cloud's SCALE accelerator Cohort 2, presenting the open-source rLLM project as its homepage. rLLM is a Berkeley Sky Computing Lab reinforcement-learning post-training framework for language agents that powered DeepScaleR, DeepCoder and DeepSWE. No separate company site, founding year or HQ is disclosed.

Prime Intellect, founded in 2023 and headquartered in San Francisco, builds decentralized AI training infrastructure. The company offers a full-stack toolkit covering compute, reinforcement learning, and evaluation, enabling enterprises to train their own agentic systems without relying on frontier AI labs. Customers include Ramp and Zapier, with an annualized revenue run rate of approximately $100 million.

Founded in 2019 by the UC Berkeley RISELab team (including Ion Stoica), the commercial entity behind the open-source distributed computing framework Ray, which provides LLM training/inference/orchestration for large GPU fleets. Acquired by Nscale for approximately $1.65 billion in 2026 (the open-source Ray will be transferred to the PyTorch Foundation and is not part of the transaction).

Inference.net is a San Francisco-based AI inference infrastructure company. It began in early 2024 as Kuzco, a Solana-based decentralized network aggregating idle GPU compute for LLM inference, and rebranded in mid-2024. It now offers an LLM lifecycle product suite (Deploy, Observe, Trace, Train, Evaluate) that lets AI-native teams run open-source and custom models at lower cost than proprietary APIs.

Clastix, based in Naples, Italy, is an infrastructure software company behind the open-source Kubernetes multi-tenancy project Capsule and the hosted control plane engine Kamaji, combined into its commercial fleet-scale platform kMetal. It helps AI labs, telecoms, cloud providers and the public sector run Kubernetes at scale, with customers including Mistral AI, NVIDIA, Fastweb and OVHcloud.