Maximize every GPU. Minimize new chip orders.
American AI and tech firms face chronic shortages of advanced semiconductors as TSMC cannot fulfill surging demand despite US factory expansion.
OptiForge deploys lightweight agents into Kubernetes or Slurm clusters to collect real-time telemetry. Its proprietary optimization engine identifies inefficiencies and recommends or auto-applies fixes such as intelligent job packing, precision scaling, and dynamic resource reallocation. This enables hyperscale AI teams to increase effective capacity by 35-50% without purchasing additional scarce semiconductors from TSMC.
hyperscale AI companies, data-center operators, and US tech firms deploying large-scale GPU clusters ($100M+ annual chip spend)
Purpose-built translation of utilization gains into direct procurement reductions with one-click integrations for Slurm and Kubernetes, using models trained on anonymized shortage-specific cluster patterns that generic monitoring tools cannot replicate.
professional
Ingests GPU, memory, power, and job metrics via lightweight agents or APIs
Live interactive dashboards with cluster-wide efficiency KPIs
Generates contextual recommendations using heuristics and LLM augmentation
Applies optimizations directly to Slurm or Kubernetes
Native connectors for Kubernetes, Slurm, and Ray
Automatically surfaces underutilized resources and thermal issues
Trend analysis and ROI calculations over time
Slack/Email alerts for utilization drops or new opportunities
Preview projected gains before applying changes
| 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 | |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| name | text | No |
| orchestrator | text | No |
| endpoint | text | Yes |
| status | text | No |
| last_synced | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| cluster_id | uuid | No |
| timestamp | timestamp | No |
| gpu_util | int | No |
| memory_util | int | No |
| power_draw | int | Yes |
| active_jobs | int | No |
| metadata | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| cluster_id | uuid | No |
| generated_at | timestamp | No |
| type | text | No |
| description | text | No |
| estimated_savings | int | No |
| status | text | No |
| applied_at | timestamp | Yes |
Relationships:
/api/clustersList all clusters for an organization
/api/clustersRegister new cluster with credentials
/api/telemetry/ingestReceive telemetry from agents
/api/recommendationsFetch current AI optimization suggestions
/api/optimizations/applyExecute a recommended optimization
/api/reports/efficiencyGenerate procurement impact report
Up to 64 GPUs
Up to 512 GPUs
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 65 | 18% | $980 | $11,760 |
| Month 6 | 520 | 22% | $7,850 | $94,200 |
Real-time optimization that turns 40% utilization into 75% — directly reducing your TSMC orders by hundreds of thousands of dollars.
1. Use LinkedIn Sales Navigator to message 40 AI infrastructure leads at companies that recently announced GPU cluster builds, offering a free 7-day efficiency audit. 2. Publish a detailed teardown of 'Why most clusters run at <40% utilization' on LinkedIn and X to drive inbound demo requests. 3. Partner with two prominent open-source AI infra maintainers for co-branded webinars and beta access.
Strong scheduling and visibility
Not focused on procurement reduction or shortage-specific recommendations
Direct mapping of utilization gains to avoided chip purchases with shortage-aware algorithms
Large GPU inventory
Cloud-only, no on-prem optimization for owned clusters
Works with any infrastructure — on-prem, colocation, or cloud
Data moat from anonymized telemetry improving recommendation models for all users, plus deep orchestrator integrations that require significant time to replicate.
Post-2023 generative AI explosion has created unprecedented GPU demand while TSMC capacity remains constrained through 2026, making every percentage point of utilization worth millions in avoided capex.
Integration fragility across diverse customer cluster configurations
Support only the two most common orchestrators first and offer paid integration services for edge cases
Security-conscious enterprises unwilling to install agents
Offer read-only API mode and pursue SOC2 Type II compliance from day one
Solo founder bandwidth across sales, support and product
Start with self-serve onboarding and templated audit reports to minimize hands-on time
Success: ≥12 confirm strong pain and intent to pay ≥$35/mo
Success: ≥4 pilots show >25% sustained utilization increase
Success: 150 signups and ≥12 paid conversions in first 14 days
Success: 15% MoM MRR growth for two consecutive months
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