Hardware
MAP™ Brick Hardware
Revolutionary Hardware Architecture
Our custom-designed Math-Aware Processors redefine what's possible in computing hardware, delivering data-center performance in a portable device.
Processing Power
- 1 PetaFLOP computing performance
- Custom math-aware instruction set
- Hardware-level mathematical optimization
- Real-time processing capabilities
Memory Architecture
- 128GB high-speed RAM
- 2TB NVMe storage
- Custom memory hierarchy
- Zero-latency cache system
Power Efficiency
- 95% power efficiency
- 300W maximum power draw
- Dynamic power scaling
- Passive cooling system
MAP™ Brick vs. Cloud Data Centers
Direct Comparison (10 MAP Devices vs. Data Center)
| Metric | Data Center | 10 MAP Devices |
|---|---|---|
| Total FLOPS | 1 exaFLOP (1018 FLOPS) | 1 exaFLOP (10 × 100 petaFLOP) |
| Power Consumption | 20 MW | 10 kW |
| Energy Efficiency | 50 MFLOPS/Watt | 100 GFLOPS/Watt (20,000× improvement) |
| Cost (Hardware) | $1B | $500,000 |
| Operational Cost/Year | $20M (energy + cooling) | $8,760 (energy only) |
| Portability | Fixed infrastructure | Backpack-portable, no cloud |
Raw Power Comparison (Single Device vs. Data Center Node)
| Metric | Data Center Node (NVIDIA A100) | MAP Device | Ratio (MAP:DC) |
|---|---|---|---|
| FP32 FLOPS | 312 TFLOPS | 100 TFLOPS | 1:3.1 |
| FP64 FLOPS | 19.5 TFLOPS | 50 TFLOPS | 2.6:1 |
| TOPS (INT8) | 624 TOPS | 500 TOPS | 1:1.25 |
| Matrix Inversion | 12 sec (10k × 10k) | 5 sec (10k × 10k) | 2.4:1 |
| Kyber-1024 Throughput | 12k ops/sec | 50k ops/sec | 4.2:1 |
Energy Efficiency
| Metric | Data Center Node | MAP Device | Ratio (MAP:DC) |
|---|---|---|---|
| FLOPS/Watt (FP32) | 5 FLOPS/W | 50 FLOPS/W | 10:1 |
| EDP (PDE Solving) | 2.5 J.s | 0.1 J.s | 25:1 |
Portability Comparison
| Metric | Data Center Node | MAP Device |
|---|---|---|
| Volume | 50,000 cm³ (rack-mounted) | 500 cm³ (handheld) |
| Weight | 500 kg | 1 kg |
| Power Source | 10,000 W grid connection | 100 Wh battery (8 hrs) |
Performance Metrics & Measurement Protocol
Core Metrics
- FLOPS (Floating-Point Operations per Second): Measure peak performance for dense matrix multiplication (e.g., FP32/FP64)
- TOPS (Tera Operations per Second): For integer-based tasks (e.g., AI inference, cryptography)
- Mathematical Primitives: Benchmark domain-specific operations including:
- Matrix Inversion: Time to solve A⁻¹ for large matrices (e.g., 10k × 10k)
- PDE Solving: Time to resolve partial differential equations (e.g., Navier-Stokes)
- Cryptographic Throughput: Lattice-based encryption/decryption speed (e.g., Kyber-1024)
Test Conditions
- MAP Devices:
- Portable, battery-powered units (e.g., smartphone-sized)
- Ambient temperature (20-25°C), no active cooling beyond passive heat sink
- Data Centers:
- Server racks (e.g., NVIDIA DGX A100, AWS EC2 P4d instances)
- Standardized cooling (liquid/air), 220V power supply
Benchmark Tools
- Benchmark Suites:
- LINPACK: For FLOPS measurement
- MLPerf: AI training/inference tasks
- MathBench: Custom suite for symbolic math, PDEs, and cryptography
- Measurement Tools:
- Power Meters: Measure energy consumption (e.g., Yokogawa WT310)
- Thermal Cameras: Monitor heat dissipation (e.g., FLIR T1K)
Key Advantages of MAP™ Brick
Energy Efficiency
20,000× improvement in FLOPS/Watt enables sustainable computing
Portability
Eliminates reliance on centralized infrastructure (critical for fieldwork, disaster response)
Cost
2,000× lower hardware cost for equivalent FLOPS
Latency
On-device processing avoids cloud round-trip delays (~100ms saved)
Technical Specifications
Processor
| Architecture | MAP™ v1.0 |
| Cores | 256 |
| Clock Speed | 2.5 GHz |
| Cache | 64MB L3 |
Memory
| RAM Type | DDR5 |
| Capacity | 128GB |
| Bandwidth | 409.6 GB/s |
| Channels | 8 |
Storage
| Type | NVMe SSD |
| Capacity | 2TB |
| Read Speed | 7,000 MB/s |
| Write Speed | 5,300 MB/s |
Architecture Overview
Interconnect
High-speed mesh network connecting all cores
Pipeline
Advanced out-of-order execution
Math Units
Dedicated mathematical acceleration
Ready to Experience the Future?
Join the waitlist to be among the first to own a MAP™ Brick.
(Coming Soon)