JOURNEY 03 · SOLUTION DESIGN · AI FACTORY

Turn AI workload intent into a design in minutes.

Aurithm is an agentic AI infrastructure decision platform for teams adopting new technology across cloud and on premises environments. Translate business process intent into a sized reference design, economics, and review artifacts so adoption can move at software speed.

PRODUCT PROOF

One working surface from intent to a review-ready design.

The live AI Infrastructure Design flow accepts a business process or single workload, exposes the sizing inputs, and returns a consolidated platform view for cloud or on premises placement.

aurithm · review workspace
Aurithm AI Infrastructure Design workspace with a customer service business process and included workloads
Product interface shown with synthetic review data · AI Infrastructure Design workspace with transformed example inputs · review output shown in the walkthrough

AI INFRASTRUCTURE DEMO

See the AI design flow before the working session.

This short recording shows the current product surface used to enter a provider or AI Infrastructure Design path and start a reviewable design workspace.

Open the AI infrastructure demo

Public walkthrough · no sign-in required

AI Infrastructure Design walkthrough · transformed example inputs · 1 minute 37 seconds

HOW THE DECISION MOVES

Move from an AI question to a design conversation.

01

Describe the work

Start with a business process or single workload. Capture model size, concurrency, vectors, streams, batch volume, and time budget.

02

Choose the placement

Frame a hyperscaler or on premises target, with provider and OEM constraints visible before sizing is composed.

03

Compose the platform

Return GPU and node requirements, shared pool treatment, fleet economics, bill of materials, and the assumptions behind the result.

04

Carry it into review

Give sales, architecture, and delivery teams the same design basis, with HLD and BoM outputs for the next review.

INPUTS

What the design needs

Business process or single workload intent

Model size, concurrency, vectors, streams, and batch targets

Cloud or on premises placement and provider constraints

Industry and region when compliance scope is required

OUTPUTS

What the team can use

Consolidated platform sizing across included workloads

GPU, node, shared pool, N+1, and fleet cost view

Combined bill of materials with visible assumptions

HLD and BoM downloads for the next review conversation

EXPLICIT BOUNDARY

A faster design review, with the limits stated clearly.

The current AI Infrastructure Design flow is stateless, deterministic, and pre-sales reference only. It keeps assumptions and unresolved inputs visible and does not apply infrastructure. Production designs remain subject to customer and partner review.

CLOUD · ON PREMISES · PARTNER DELIVERY

Give every stakeholder one design basis to work from.

Customers, vendors, and delivery teams can move the same infrastructure decision forward, from the first sizing conversation to the artifacts required for technical review.

Bring an AI infrastructure decision to Aurithm