TRANSLATE AI WORKLOADS INTO INFRASTRUCTURE DECISIONS
The Venturi AI Factory Sizer helps organizations model users, models, context, concurrency, performance, storage growth, and token consumption to better understand the AI infrastructure required to support their business objectives.
the problem
Why AI Capacity Planning Is So Difficult
Most organizations can describe the business problem they want AI to solve.
Far fewer can answer:
Far fewer can answer:
- How many users will use it?
- Which models should be deployed?
- How much context is required?
- What happens when usage doubles?
- How many GPUs are needed?
- How much storage will growth require?
- What will token consumption cost?
This is where many AI initiatives become stuck. The challenge isn't choosing hardware. The challenge is understanding the workload.
UNDERSTAND THE CONTRIBUTING FACTORS
Define the Workload
Every sizing exercise begins with understanding the workload. The Venturi AI Factory Sizer captures the factors that drive AI infrastructure requirements, including workload type, models, users, context, performance expectations, and expected growth.
Our AI Sizer considers what happens between a user's prompt and an AI-generated response. Whether you are deploying a chatbot, agentic workflow, code assistant, or enterprise AI application, every AI interaction consumes infrastructure resources in predictable ways.
Understanding the workflow is the first step towards right-sizing an AI Factory.
This creates a common language between business stakeholders and infrastructure teams.
Our AI Sizer considers what happens between a user's prompt and an AI-generated response. Whether you are deploying a chatbot, agentic workflow, code assistant, or enterprise AI application, every AI interaction consumes infrastructure resources in predictable ways.
Understanding the workflow is the first step towards right-sizing an AI Factory.
This creates a common language between business stakeholders and infrastructure teams.
WHAT IS THE AI FACTORY SIZER?
Turn Workload Assumptions into Architecture Insight
The Venturi AI Factory Sizer translates business and technical inputs into infrastructure guidance.
Users can model:
Users can model:
- AI use cases
- Models and deployment options
- User counts
- Concurrency
- Context length
- Token usage
- Storage requirements
- Growth projections
- Performance expectations
The result is a structured framework for understanding the infrastructure implications of an AI workload before major investments are made.
DEMAND & CAPACITY
Explore Capacity Drivers
Small changes in assumptions can create large changes in infrastructure demand.
The Sizer helps visualize: capacity requirements, GPU demand, concurrency impacts, memory considerations, and scale sensitivity.
Understanding these relationships is often more valuable than any single sizing recommendation.
One request is easy. Enterprise AI is different. What matters isn't a single request, but rather, concurrency. This is one of the largest drivers of infrastructure requirements, as well as one of our most-discussed topics at our AI workshops and technical engagements.
The Sizer helps visualize: capacity requirements, GPU demand, concurrency impacts, memory considerations, and scale sensitivity.
Understanding these relationships is often more valuable than any single sizing recommendation.
One request is easy. Enterprise AI is different. What matters isn't a single request, but rather, concurrency. This is one of the largest drivers of infrastructure requirements, as well as one of our most-discussed topics at our AI workshops and technical engagements.
EXECUTIVE SUMMARY TAB
Executive-Friendly Outputs
Not every stakeholder wants to analyze token throughput or GPU memory.
The Sizer can help translate technical assumptions into business-oriented discussions around cost, growth, risk, scalability, and deployment options.
The Sizer can help translate technical assumptions into business-oriented discussions around cost, growth, risk, scalability, and deployment options.
WHO IS IT FOR?
Built for Organizations Exploring Enterprise AI
IT Leaders
Understanding infrastructure implications before budget discussions.
Enterprise Architects
Evaluating deployment alternatives and scalability.
AI Teams
Testing assumptions and workload scenarios.
Technology Partners
Supporting customer discovery and sizing exercises.
Business Stakeholders
Understanding how application requirements influence infrastructure decisions.
Understanding infrastructure implications before budget discussions.
Enterprise Architects
Evaluating deployment alternatives and scalability.
AI Teams
Testing assumptions and workload scenarios.
Technology Partners
Supporting customer discovery and sizing exercises.
Business Stakeholders
Understanding how application requirements influence infrastructure decisions.
WHY WE BUILT IT
Because AI Conversations Start in the Wrong Place
Too many AI discussions begin with: Which GPU should we buy?
The better question is: What workload are we trying to support?
The Venturi AI Factory Sizer was developed to help organizations connect business objectives with architecture decisions. Rather than sizing infrastructure first, the process begins with the workload, expected outcomes, users, data requirements, and operational expectations.
Only then does infrastructure come into focus.
The better question is: What workload are we trying to support?
The Venturi AI Factory Sizer was developed to help organizations connect business objectives with architecture decisions. Rather than sizing infrastructure first, the process begins with the workload, expected outcomes, users, data requirements, and operational expectations.
Only then does infrastructure come into focus.
AVAILABLE TODay
Current Early Access Features
LEarn more
The Venturi AI Factory Sizer is built on the same methodology used in Venturi's AI Factory workshops and architectural technical engagements. Continue learning how prompts become inference pipelines and what actually consumes infrastructure resources.
Venturi AI Factory Sizer: A practical tool developed to translate workload requirements into AI Factory architectures, helping organizations navigate complexity and design for desired business outcomes.
Venturi AI Factory Sizer: A practical tool developed to translate workload requirements into AI Factory architectures, helping organizations navigate complexity and design for desired business outcomes.
