About
The platform AI teams should have had years ago.
We build TAIP because the AI teams we know — researchers, product builders, platform engineers — are still stitching together a dozen tools to do work that ought to feel like one.
Our story
We've run the AI clusters. Now we're shipping the platform.
TAIP is a US-based AI infrastructure company. We've spent years building, operating, and rebuilding the GPU clusters and platforms behind serious AI work — and watched the same patterns play out at team after team.
Builders want a clean place to develop, train, deploy, and iterate. Operators want a real control plane: identity, quotas, policy, audit. IT wants something they can install into their environment without handing over the keys.
We built TAIP to do all three at once — and to do them as one coherent platform, not a tool drawer.
What we believe
The principles behind TAIP.
01
AI infrastructure is product, not plumbing
The teams that ship the best AI products treat their internal platform as a real product — designed, supported, and improved. TAIP is the platform we wish every AI team had.
02
Run it where your data lives
AI workloads are data workloads. We build for on-prem, VPC, and air-gapped environments first — and let the cloud be a deployment target, not a dependency.
03
Open beats locked in
We bet on open standards: Kubernetes, OCI, OpenAI-compatible APIs, OIDC, Cosign. Your data, your models, your workflows are portable by default.
04
Ship the unglamorous parts
Quotas, audit, image pulls, IdP integration, GPU topology — the parts most platforms hand-wave. We treat them as the product.