Simulate your cluster. Secure only what you need.
American AI and tech firms face chronic shortages of advanced semiconductors as TSMC cannot fulfill surging demand despite US factory expansion.
ClusterSim lets infrastructure teams upload workload profiles and run thousands of Monte Carlo simulations against real-time TSMC lead times and pricing. It outputs optimal procurement schedules, quantities, and alternative architectures that minimize both capital outlay and time-to-deployment during the current chip famine.
hyperscale AI companies, data-center operators, and US tech firms deploying large-scale GPU clusters ($100M+ annual chip spend)
Combines discrete-event simulation with live semiconductor market data to give procurement and infra teams accurate TCO and timeline forecasts before they commit to multi-million-dollar orders.
friendly
Easy UI to define training or inference job characteristics
Runs 10,000+ scenarios against current market conditions
Recommends exact purchase windows and quantities
Compares H100 vs MI300X vs custom ASIC scenarios
Visualizes cost, timeline, and risk distributions
One-click PDF/PPT with executive summaries
Reuse and version previous simulations
Pulls latest pricing and lead times into simulations
Share simulations with procurement stakeholders
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| stripe_customer_id | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| name | text | No |
| workload_config | text | No |
| created_at | timestamp | No |
| status | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| simulation_id | uuid | No |
| median_cost | int | No |
| median_months | int | No |
| risk_score | int | No |
| recommended_config | text | No |
| created_at | timestamp | No |
Relationships:
/api/simulationsCreate and queue new simulation job
/api/simulations/:idRetrieve simulation status and results
/api/market-dataLatest semiconductor pricing and lead times
/api/export/pdfGenerate board-ready PDF report
Single user
Up to 10 users
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 55 | 22% | $890 | $10,680 |
| Month 6 | 480 | 26% | $7,600 | $91,200 |
Know exactly how many GPUs you need and when to buy them — before you sign the PO in a chip shortage market.
1. Target capacity planning and infra leaders at AI companies via LinkedIn with a free 'Cluster Build Risk Report' using their public filings. 2. Create a viral interactive demo on the landing page that lets visitors run a simplified H100 vs MI300 simulation. 3. Present at AI Infra Day and Supercomputing conference side events.
Powerful physics simulation
Not tailored to AI workloads or semiconductor market dynamics
Domain-specific to AI GPU clusters with live market data
Cloud cost visibility
Only post-deployment, no pre-procurement simulation
Helps you decide what to buy before you spend
Growing library of validated workload profiles and simulation outcomes that improve recommendation accuracy over time.
Record capital raises for AI infrastructure in 2024 combined with multi-year TSMC waitlists have made accurate pre-purchase modeling a board-level priority for the first time.
Simulation results may not match real-world outcomes
Validate against public cluster performance data and offer confidence intervals
Procurement teams may not trust software over vendor relationships
Focus initial marketing on engineering teams who then champion internally
Building credible market data feed as solo founder
Start with public datasets and partner with one research firm for validation
Success: ≥9 say they would use simulation output in board meetings
Success: ≥4 teams change procurement decision based on output
Success: 300 signups and 18 conversions in first 30 days
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