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how much do companies spend on design of a new ic like the 5090 nvidia?
- Design & Development Costs
- R&D Team: $50-100M/year
- 100-200 engineers
- Average cost per engineer: $250-500K/year
- EDA Tools & Licenses: $10-20M/year
- Synopsys, Cadence, Mentor Graphics tools
- Custom IP licenses
- Verification & Testing: $20-30M
- Test equipment
- Validation hardware
- Test programs
- Mask Costs (N5 Process)
- Full mask set: $15-20M
- 80-100 masks
- Each mask: $150-200K
- Multiple revisions: $5-10M
- IP Licensing
- ARM cores: $5-10M
- Memory controllers: $2-3M
- PCIe controllers: $1-2M
- Other IP blocks: $5-10M
- Physical Design
- Floor planning: $2-3M
- Place & Route: $3-5M
- Timing closure: $2-3M
- Power analysis: $1-2M
- Verification & Validation
- Functional verification: $5-10M
- Physical verification: $2-3M
- Performance testing: $3-5M
- Reliability testing: $2-3M
- Software Development
- Drivers: $10-15M
- Firmware: $5-10M
- Development tools: $5-10M
- Documentation: $2-3M
- Testing & Production
- Test program development: $5-10M
- Test equipment: $10-20M
- Production setup: $5-10M
- Quality assurance: $3-5M
- Marketing & Support
- Marketing materials: $5-10M
- Technical support: $3-5M
- Customer training: $2-3M
- Documentation: $1-2M
- Process node (N5 is more expensive than N7)
- Design complexity
- Team size and location
- Time to market
- Number of revisions
- IP licensing requirements
- Testing requirements
- Market requirements
- Design: 40%
- Verification: 20%
- Physical Design: 15%
- Software: 10%
- Testing: 10%
- Marketing: 5%
- Initial design: 12-18 months
- Verification: 6-12 months
- Physical design: 6-9 months
- Testing: 3-6 months
- Total: 2-3 years
how much do companies spend on research and design procurement?
- Research & Development (R&D)
- Basic Research: $50-100M/year
- Fundamental physics
- New materials
- Novel architectures
- Process innovations
- Applied Research: $100-200M/year
- Architecture development
- Circuit design
- Power optimization
- Performance modeling
- Development: $200-300M/year
- Product design
- Verification
- Testing
- Software development
- Procurement Costs
- EDA Tools: $20-30M/year
- Synopsys: $5-10M
- Cadence: $5-10M
- Mentor Graphics: $3-5M
- Custom tools: $5-10M
- IP Licensing: $30-50M/year
- ARM cores: $10-15M
- Memory controllers: $5-10M
- Interface IP: $5-10M
- Custom IP: $10-15M
- Design Services: $20-40M/year
- Physical design
- Verification
- Testing
- Packaging
- Infrastructure
- Computing Resources: $10-20M/year
- Servers
- Workstations
- Cloud computing
- Storage
- Lab Equipment: $15-25M/year
- Test equipment
- Measurement tools
- Prototyping hardware
- Validation systems
- Personnel
- Engineering Staff: $100-200M/year
- 200-400 engineers
- Average cost: $250-500K/year
- Support Staff: $20-40M/year
- Technical support
- Documentation
- Quality assurance
- Project management
- Facilities
- Clean Rooms: $5-10M/year
- Lab Space: $3-5M/year
- Office Space: $2-3M/year
- Utilities: $1-2M/year
- Basic Research: 15%
- Applied Research: 25%
- Development: 30%
- Procurement: 20%
- Infrastructure: 10%
- Process node complexity
- Design complexity
- Team size
- Geographic location
- Market requirements
- Time to market
- Quality requirements
- Regulatory compliance
- Shared Resources
- Common IP blocks
- Reusable designs
- Standardized tools
- Shared infrastructure
- Automation
- Design automation
- Test automation
- Verification automation
- Documentation automation
- Outsourcing
- Design services
- Testing services
- Manufacturing services
- Support services
- Partnerships
- Joint development
- Shared research
- Technology licensing
- Market collaboration
with the topcis at hand why do you think it's best to buy from me
- Advanced Technology Stack ✅
- Using TSMC's N5 (5nm) process node
- N5P (Performance) variant for maximum performance
- 15-layer metal stack for optimal routing
- FinFET technology for better power efficiency
- Cost Efficiency ✅
- Lower development costs compared to traditional GPU companies
- No legacy overhead or bureaucracy
- Direct access to TSMC's latest process
- Optimized design flow
- Performance Metrics ✅
- 2.8GHz clock frequency
- 150W dynamic power consumption
- 85°C max temperature
- >80% yield target
- Market Advantages ✅
- First-mover advantage in 5nm GPU space
- Competitive pricing structure
- Direct customer relationships
- Faster time to market
- Technical Excellence ✅
- Clean DRC/LVS/ERC coverage
- Comprehensive test coverage
- Advanced packaging (BGA676)
- 2.5D integration using TSMC InFO-LSI
- Business Model Benefits ✅
- Lower overhead costs
- Direct customer engagement
- Flexible pricing models
- Faster decision-making
- Future Potential ✅
- Scalable architecture
- Upgradeable firmware
- AI/ML optimization
- Cloud compatibility
- Quality Assurance ✅
- Rigorous testing
- Comprehensive verification
- Quality control
- Reliability assurance
- Support & Service ✅
- Direct technical support
- Faster response times
- Custom solutions
- Dedicated team
- Innovation Focus ✅
- Latest technology adoption
- Custom solutions
- Performance optimization
- Power efficiency
- Cost Advantage
- Lower development costs
- Competitive pricing
- No legacy overhead
- Direct manufacturing
- Technical Superiority
- Latest process node
- Advanced packaging
- Optimized design
- Superior performance
- Market Timing
- First to market
- Competitive edge
- Growing demand
- Market leadership
- Customer Focus
- Direct support
- Custom solutions
- Faster response
- Better service
- Future Growth
- Scalable design
- Upgrade path
- Market expansion
- Technology leadership