Products
Focused products. One platform.
The TAIP suite is intentionally modular. Each product stands on its own. Together they share identity, policy, observability, and billing — so the whole becomes a real platform, not a folder of tools.
Layer 01
For AI builders
Everything researchers, engineers, and AI app teams need to ship — from a notebook to production inference.
ConsoleX
AvailableThe self-service Kubernetes workspace for every user
Each user gets an isolated namespace with quotas, storage, networking, and a web terminal — no kubectl, no tickets, no per-user RBAC.
Learn moreDevSpace
AvailableManaged AI development environments on Kubernetes
Single-click Jupyter, Marimo, Streamlit, Gradio, and VS Code environments — GPU-ready, isolated per user, idle-shutdown by default.
Learn moreTrainX
AvailableCurated, multi-tenant training on Kubernetes
Templates that describe themselves render directly into a UI form — admins control the script and defaults, users supply the parameters.
Learn moreInferX
AvailableSelf-hosted Model-as-a-Service for the agentic era
A unified gateway and admin plane for serving LLMs across providers and on-cluster runtimes — OpenAI- and Anthropic-compatible, OTEL-instrumented end to end.
Learn moreImageSphere
AvailableOCI registry with first-class identity, access, and ops
A curated fork of CNCF Sandbox Zot, extended with a real admin UI, runtime-mutable access control, OIDC SSO, namespace quotas, and a credible air-gap story.
Learn moreAgentX
Coming soonThe agent platform — built on TAIP
Build, run, and govern long-running AI agents on the same plane as your models.
Learn moreLayer 02
For platform admins
Run TAIP at any scale. Manage users, quotas, GPU pools, and policy from one console.
Layer 03
Cluster foundation
Stand up the underlying Kubernetes plane, identity, and storage that powers TAIP.