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AI infrastructure · GPU intelligence

TuQuant Prizm.

One source of truth and control over your entire GPU estate. Every GPU across cloud, neocloud and on-premise in one view, with reversible, governed changes.

Overview

One source of truth and control over your entire GPU estate.

TuQuant Prizm maps every GPU you rent or own, shows how each one is used, and finds idle, oversized and misplaced workloads.

Agents propose changes within the budgets and policies you set; each change is reversible and its result is measured, so savings are proven rather than estimated.

Built for: Heads of AI platform, infrastructure and FinOps.

What it does

Three outcomes.

One view of the estate

Training and inference across every provider and data center.

Waste found

Idle, oversized and misplaced capacity surfaced continuously.

Reversible changes

Every change governed, measured and easy to roll back.

Explainer

TuQuant Prizm in under a minute.

A narrated explainer. Live demos run privately, on your own data and under NDA.

Platform

Runs on the TuQuant platform.

Private deployment, policy enforcement and a complete audit trail come with it.

  • Private by default. Models run in your environment. Your prompts and data are never used to train shared models.
  • Every action is logged. Each prompt, tool call and output is recorded with who, what and why.
  • Humans approve what matters. You decide which agent actions need sign-off before they run.
  • Fits your controls. Single sign-on, role-based access, your key management and your network boundaries.

FAQ

Common questions.

Which environments does Prizm cover?

Public clouds, GPU neoclouds and on-premise clusters.

Does it change workloads automatically?

Only within the policies you set, and every change is reversible.

How are savings measured?

Against a measured baseline, after each change, not as an estimate.

See TuQuant Prizm on your own data.

A private walkthrough on a sample of your real work, under NDA.

Book a demo