AI Infrastructure Sizing & Cost Calculator

Enterprise AI Infrastructure Planning Platform

NVIDIA AI Enterprise VMware Private AI
1
Business Info
2
Workloads
3
Models
4
RAG & Data
5
Sizing
6
Cost Est.
7
Optimization
8
Dashboard

Business & Customer Information

Provide organizational context to personalize your AI infrastructure recommendation.

Organization Details
Deployment Preference
This assessment generates a non-binding estimate for planning purposes. Final sizing should be validated with a qualified infrastructure architect.

AI Workload Assessment

Select all AI use cases your organization plans to deploy. This drives infrastructure sizing.

Select AI Use Cases
Enterprise Chatbot
RAG Assistant
Agentic AI
AIOps
Document Intelligence
Code Generation
Fine-Tuning
Model Training
Inferencing
Computer Vision
Knowledge Assistant
NLP & Summarization
Workload Complexity Score
0 / 100
Select workloads to begin
No workloads selected yet.
Workload Priority

AI Model Assessment

Select the LLM family, size, precision, and context window for your primary model.

Model Configuration
FP16
FP8
INT8
INT4
Model Memory Estimate
~140 GB
VRAM Required
Per model instance
2×
Min GPUs
H100 80GB equivalent
Select model size and precision for estimates.
Serving Framework
Multi-GPU Options

Data & RAG Assessment

Define your document corpus, RAG architecture, and vector database requirements.

Document Corpus
PDFs
Images
Videos
Emails
KB Articles
DB Records
RAG Configuration
Data Governance

Infrastructure Sizing Engine

Define performance requirements to generate your recommended infrastructure configuration.

Capacity Requirements
H100 SXM5
NVIDIA Hopper Architecture · 80GB HBM3
NVLink vLLM Ready NIM Supported Tensor Parallelism
4
GPU Count
320GB
GPU VRAM
128
CPU Cores
512GB
System RAM
24TB
Storage
400Gb
Network
2
Server Nodes
1
Racks
Recommended Software Stack
vLLM NVIDIA NIM Triton Inference VMware Private AI Milvus NVLink

Cost Estimation

Detailed CAPEX, OPEX, and 3-Year Total Cost of Ownership breakdown.

Assumptions & Pricing
CAPEX
$0
One-time investment
Annual OPEX
$0
Per year ongoing
Monthly Cost
$0
All-in monthly
3-Year TCO
$0
Total cost of ownership
Cost Breakdown
ComponentCategoryCost
Run sizing engine first
Cost Distribution
CAPEX vs OPEX (3-Year)
3-Year TCO Projection

Optimization Recommendations

Automated analysis of cost savings, efficiency improvements, and ROI opportunities.

0%
Potential Savings
$0
3-Year Savings
0%
Est. ROI
0 mo
Payback Period
Optimization Opportunities
Complete previous steps to generate recommendations.
Savings Analysis
GPU Utilization Estimate

Executive Summary Dashboard

Infrastructure recommendation for your organization.

AI Readiness Scores
0
AI Readiness
0
Infrastructure
0
GPU Platform
0
RAG Readiness
0
AIOps
GPU Platform
H100
NVIDIA Hopper · 80GB
Deployment
VMware Private AI
Recommended model
Est. Investment
$0
3-Year TCO
Potential Savings
$0
vs. unoptimized baseline
AI Infrastructure Advisor
Consultant-grade strategic recommendation
Current State
Reactive Operations
Target State
AI-Driven Operations
Recommended Solution
Complete previous steps to generate recommendation.
Expected Benefits
  • Complete assessment to see personalized benefits
Recommended Architecture Stack
User Interface Layer
Web / Mobile / API Clients
AI Application Layer
Chatbot / RAG / Agentic
Inference Layer
NVIDIA NIM · vLLM · Triton
GPU Compute Layer
H100 · NVLink · MIG
Data & Storage Layer
Vector DB · Object Storage · NFS
Platform Layer
VMware Private AI · vSphere
Infrastructure Distribution
Summary Specifications
Complete all steps to generate summary.