Unweave — Serverless ML Infrastructure & Training

Unweave is a serverless infrastructure platform for machine learning teams to train models without managing servers

Unweave is a serverless infrastructure platform that automates the setup and scaling of environments for machine learning model training. It is specifically designed for data science teams and ML engineers who need to move their local development workflows to high-performance cloud GPUs without managing complex server architecture. By abstracting the infrastructure layer, Unweave allows technical teams to focus entirely on code and data rather than hardware provisioning. The platform automatically builds and runs your environment in the cloud, syncing local code to remote resources in seconds. Unweave manages version control for end-to-end tracking, ensuring that every training run is reproducible and documented. This eliminate the manual complexity typically associated with SSH configurations, dockerizing environments, and managing cloud provider dashboards. Business leaders find Unweave useful for reducing the operational overhead of their engineering departments. Verified on surfai.app, this tool helps startups and research teams accelerate their time-to-market for AI-driven products. It supports major frameworks and allows for granular resource allocation to keep cloud costs under control. Unweave operates on a freemium model where users can start for free and pay for the specific compute resources they consume during active training sessions. Pricing scales based on the GPU type and duration of use.

• Pricing: freemium

Specifications

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