An open-source asynchronous reinforcement learning framework for training large language models at scale.
PRIME-RL is a framework for large-scale reinforcement learning designed to scale to 1000+ GPUs with fully asynchronous RL for high-throughput agentic training.
It supports end-to-end post-training including SFT, RL training, and evaluation, with native integration with the Verifiers environment library and multi-node deployment via Slurm and Kubernetes.
| Attribute | Prime-Rl | AI Model Hub | |
|---|---|---|---|
| Provider |  |  | |
| Founded | 2023 | 2016 | |
| Sells To | Enterprise | — | |
| Pricing Model | Recurring Usage-Based | Usage-based | |
| Ownership | Venture-backed | Private, Venture-backed |
Provider
Founded 2023
Sells To Enterprise
Pricing Model Recurring Usage-Based
Ownership Venture-backed
Provider
Founded 2016
Sells To —
Pricing Model Usage-based
Ownership Private, Venture-backed
Simulated applications with expert-curated artifacts and verifiers for training AI agents on long-horizon professional workflows.
Open-source inference serving platform for deploying AI models from any framework on CPUs and GPUs.
Simulated applications with expert-curated artifacts and verifiers for training AI agents on long-horizon professional workflows.
RunRL is a reinforcement learning service that runs hosted post-training campaigns and raises a model's reward on a customer-supplied task.
RunRL is a reinforcement learning service that runs hosted post-training campaigns and raises a model's reward on a customer-supplied task.
Reflection AI builds frontier open-weight language models and autonomous coding agents using large-scale reinforcement learning infrastructure.
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Reflection AI builds frontier open-weight language models and autonomous coding agents using large-scale reinforcement learning infrastructure.
Automated AI research system that proposes, implements, and validates experiments across model training and GPU kernel benchmarks.
World foundation model platform for generating physically grounded video and training physical AI systems.
Open-source inference serving platform for deploying AI models from any framework on CPUs and GPUs.
End-to-end framework for building, customizing, and deploying generative AI and agent models.
Containerized inference microservices providing prebuilt APIs for popular AI models on NVIDIA accelerated infrastructure.
