01CORE PRODUCT
Tai Fab Compute Optimizer
AI-assisted workload, hardware, energy and cost optimization for compute-intensive teams.
- Workload profiling
- Hardware selection
- Energy / cost optimization
- Optimization recommendations
KSTTAI HOLDING · ADVANCED COMPUTING
Build more compute. Waste less energy.
Tai Fab engineers the computing infrastructure layer for an energy-abundant civilization — starting with AI optimization and digital twins, expanding into advanced hardware, autonomous infrastructure and space-based computing.
North Star: abundant, efficient, scalable computation
TF
AIHW∞SPACE02 / V2Energy → Compute → Manufacturing → Space
COMPUTE OPTIMIZATION AI•DIGITAL TWIN•PHOTONIC COMPUTING•REVERSE COMPUTING•SPACE COMPUTING•AUTONOMOUS MANUFACTURING
01
PRODUCTS
Commercial products first. Civilization infrastructure later.
02ENGINEERING PLATFORM
Computing Digital Twin
Model AI workloads through hardware architecture, energy, cost and optimal system design.
- Workload → architecture
- Energy model
- Cost model
- Scenario comparison
03INFRASTRUCTURE
Tai Fab Compute Cloud
A path toward managed, efficient AI compute capacity with long-term infrastructure contracts.
- Compute leasing
- AI infrastructure
- Long-term capacity
- Efficiency monitoring
04LONG-TERM R&D
Advanced Compute Systems
Research programs spanning reversible, photonic and neuromorphic computing toward 10×–100× efficiency improvement.
- Reversible computing compiler
- Photonic interconnects
- Neuromorphic systems
- Advanced accelerators
02
SERVICES
Deploy the capability before you build the infrastructure.
01
Compute Audit
Map workloads, infrastructure, energy use and cost to identify the highest-value optimization opportunities.
02
Optimization Pilot
Run a focused optimization engagement against a real workload and produce an engineering action plan.
03
Digital Twin Program
Build a scenario model for hardware, energy, cooling, cost and future capacity decisions.
04
Infrastructure Design
Design efficient AI compute systems, renewable-powered farms and advanced cooling architectures.
05
R&D Partnerships
Co-develop advanced computing programs across photonics, reversible and neuromorphic systems.
06
Space Compute Roadmapping
Translate Earth compute requirements into an architecture for orbital and lunar computing infrastructure.
03
THE TAI FAB STACK
A full-stack path from workload to civilization.
06Autonomous ManufacturingReplication / Robotics
05Energy InfrastructureAbundant power / Thermal systems
04Advanced Computing HardwarePhotonic / Reversible / Neuromorphic
03AI Optimization LayerWorkload / Cost / Energy
02Tai Compute Operating SystemCompute orchestration
01Application LayerAI models / workloads
04
LIVE DEMO · V2
Give Tai Fab a compute problem. Get an optimization signal.
This is a simplified product demonstration, not a production benchmark. Adjust your monthly compute spend and a target efficiency improvement to see the modeled savings opportunity.
MODELED MONTHLY SAVINGS$30,000
$360,000 / year
Illustrative model. Actual results depend on workload, hardware, utilization and energy pricing.10×–100×advanced-system efficiency improvement goal
100 MWinitial space-computing platform target
>90%automation objective
2091solar-system-scale north star
05
PRICING
Start small. Scale with the compute problem.
Indicative V2 commercial packaging for website purposes. Final pricing is scoped to workload complexity, data access, infrastructure size and engagement depth.
Audit
$5k–$15kOne-time diagnostic engagement.
- Workload review
- Efficiency baseline
- Opportunity map
- Executive findings
Optimization Pilot
$15k–$50kFocused engineering pilot against a real workload.
- Profiling
- Optimization model
- Scenario testing
- Implementation plan
Enterprise / Infrastructure
CustomRecurring optimization, digital twin or compute infrastructure programs.
- Multi-workload scope
- Dedicated engineering
- Capacity planning
- Long-term contracts
06
TECHNOLOGY PROGRAMS
Beyond the von Neumann paradigm.
Reverse Computing
Reduce information loss and explore lower-energy computational paths.
Photonic Computing
Move data through optical interconnects and photonic acceleration.
Neuromorphic Systems
Brain-inspired architectures targeting ultra-low-power AI and autonomous systems.
Space Computing
Move computation toward abundant solar energy and scalable orbital infrastructure.
07
2026 → 2091
Commercial execution now. Space infrastructure next.
2026–2028
Phase 0 — Computing Intelligence Platform
Compute Optimization AI + Computing Digital Twin.
2028–2035
Phase 1 — Earth-Based AI Computing Infrastructure
AI data centers, renewable-powered compute farms and advanced cooling systems.
2035–2045
Phase 2 — Advanced Computing Systems
Commercialize reverse computing, photonics and neuromorphic systems.
2045–2060
Phase 3 — Space-Based Computing Infrastructure
Orbital compute stations powered by space solar arrays and connected by laser communications.
2060–2091
Phase 4 — Solar-System Computing Civilization
Lunar compute factories, asteroid-resource systems and a solar-system-scale computing network.
08
ORGANIZATION
The computing layer of the KstTai ecosystem.
Tai Principles
↓Tai Energy
↓Tai Fab
↓Tai Factory
↓Space Civilization Systems
Tai Fab integrates energy, AI, hardware, manufacturing and space infrastructure into one long-term computing architecture.
The organization progresses from software optimization to physical infrastructure and autonomous expansion.
KSTTAI / TAI FAB
Bring us a compute problem.
For pilots, infrastructure, research partnerships, investment discussions and strategic collaboration.