The AI platform for
production workloads.
Run LLMs, agents, sandboxes, notebooks, pipelines, and model endpoints on one managed Kubernetes-native platform, deployed where you keep control.
What can prokube do for you?
Everything inside prokube
From model training to agentic workflows, prokube runs production AI workloads on one platform. Start with the workloads your team needs today. Add more without rebuilding the platform around every new AI use case.
Secure agent sandboxes
Let agents run code in isolated environments with scoped resources, network rules, and full traceability.
Build, evaluate, and run agents
Develop and operate agentic workflows with identity, observability, and controlled runtime behavior from day one.
MCP servers, managed
Expose MCP tools, skills, and internal APIs as governed capabilities instead of giving agents broad credentials.
Host LLMs yourself
Serve open-weight LLMs on your infrastructure and keep prompts, retrieval context, and responses inside your controlled environment.
Develop and track experiments
Give teams browser-based Jupyter and VS Code environments close to data and GPUs, with MLflow tracking on the same platform.
Build pipelines, train, and tune models
Run reproducible pipelines, distributed training, and systematic hyperparameter tuning on shared Kubernetes infrastructure.
Deploy model endpoints
Move trained artifacts to scalable inference endpoints without rebuilding serving infrastructure every time.
Operate production ML
Track logs, metrics, traces, GPU usage, and failures across pipelines, notebooks, and model endpoints.
Build, evaluate, and run agents
Develop and operate agentic workflows with identity, observability, and controlled runtime behavior from day one.
What prokube provides
What you get
We turn fragmented open-source AI infrastructure into one production-ready platform.
prokube integrates the tools, configures sane defaults, and keeps the platform operable over time, so your team can focus on AI workloads instead of platform plumbing.
The stack
Everything inside prokube
From the prokube console down to Kubernetes: fully integrated, with one SSO, one RBAC, and one audit trail across every layer.
Interfaces