Zyphra Cloud
Full-stack AI platform for building and deploying long-horizon agentic systems with inference, compute, and agent environments.
| What is it | Full-stack AI platform for building and deploying long-horizon agentic systems with inference, compute, and agent environments. |
|---|---|
| Pricing | Paid |
| Platform | Web Application |
| API | Yes |
| Best for | deploying long-horizon agentic workflows, running large-scale reinforcement learning simulations |
| Domain registered | 2013 |
Data updated Sept. 19, 2026
What does Zyphra Cloud do?
Zyphra Cloud is a full-stack AI platform built by Zyphra Research for developers, enterprises, and AI hyperscalers. It bundles advanced inference, compute, and agent orchestration into one service, with a focus on long-horizon agentic workloads — think AI agents that can plan, reason, and act over extended periods. The platform offers serverless and dedicated inference for open-weight models, plus agent environments for distributed training and reinforcement learning. It also includes MAIA, a multiplayer general agent designed for team collaboration, search, chat, and tool orchestration.
What makes Zyphra Cloud stand out is its optimization for long context models and agentic workflows. The inference layer uses custom AMD kernels, novel parallelism schemes, and long-context algorithms to handle the demands of real-world AI systems. On the compute side, you get GPU clusters with bare-metal orchestration and dedicated capacity. The agent environments provide CPUs for large-scale simulation, making it easier to train and test agents at scale. Everything is designed to work together, so you can move from research to production without stitching together separate tools.
This platform is best suited for AI teams building autonomous agents, researchers running distributed RL experiments, and enterprises deploying production-grade inference at scale. If you're working on agentic systems that need to maintain context over long conversations or complex tasks, Zyphra Cloud gives you the infrastructure and orchestration out of the box. It's also a good fit for anyone who wants to run frontier open-weight models without managing their own GPU clusters.
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