Zyphra Cloud

Zyphra Cloud is an AI project builder tool. Zyphra Cloud packages open-weight inference, GPU compute, agent environments and the MAIA team agent into one platform, aimed at developers and enterprises running long context, long horizon agentic systems.

Zyphra Cloud is the hosted arm of Zyphra Research, built around a single proposition: frontier open-weight models and the plumbing that surrounds them, delivered as a product rather than a research demo. The platform is stacked in four layers. Inference runs the models, including serverless access to open-weight checkpoints and reserved dedicated capacity for latency-sensitive production traffic. Compute covers GPU clusters, bare metal orchestration and dedicated capacity. Agent Environments supply CPUs for distributed training, reinforcement learning and large-scale simulation. At the top sits MAIA, a multiplayer general agent for teams that handles search, chat and agentic workflows alongside model and tool orchestration. The engineering emphasis is on long context and long horizon workloads. Zyphra points to custom AMD kernels, long context algorithms and novel parallelism schemes as the differentiators underneath the API, which matters to teams whose prompts carry large documents, codebases or extended multi-step agent traces. Practical buyers should read that as infrastructure positioning rather than an out of the box creative suite: the company is selling performance and control to people who already know what to do with a model endpoint. Typical users are developers wiring agentic systems into products, enterprises that want open-weight models without operating clusters themselves, and hyperscalers or research groups needing reserved compute. MAIA extends the platform beyond raw inference into collaborative agent work, so a team can share an agent that searches, chats and coordinates tools. Where does it sit among alternatives? Compared with mainstream model APIs, Zyphra trades breadth of consumer features for open-weight models and infrastructure depth. Compared with renting raw GPU cloud, it bundles inference, environments and an agent layer on top of the metal. That combination suits teams building persistent, long-running agents more than those who just need a quick text or image endpoint.