Neysa is an AI acceleration cloud platform that provides GPU-based infrastructure for fast training and inference, built on an open-source, full-stack AI system.
Neysa is an AI acceleration cloud platform designed to optimize training and inference workloads on GPUs, providing a full-stack infrastructure for modern machine learning teams. Built on open-source technologies, it focuses on delivering high performance, scalability, and operational efficiency for AI models across their lifecycle. Neysa’s primary purpose is to simplify and standardize how organizations run, manage, and scale GPU-intensive AI workloads in the cloud or hybrid environments.
The platform offers managed GPU clusters with automated provisioning, scheduling, and scaling, enabling users to run distributed training jobs and low-latency inference services without deep infrastructure expertise. It typically supports containerized workflows (e.g., via Kubernetes), integrates with popular ML frameworks, and provides observability for GPU utilization, performance metrics, and cost tracking. Neysa includes tools for experiment management, model versioning, and deployment pipelines, allowing teams to move from research to production with consistent, repeatable processes. Its open-source foundation helps avoid lock-in and makes it easier to integrate with existing MLOps, data, and CI/CD stacks.
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