AutoPhi IC Portfolio - Complete Functional Overview

IC Types & Categories

1. AI Accelerators & Coprocessors

• Performance Package Offload Coprocessor v1.0 - 32,000 TOPS peak performance
• PCIe x16 Full-Height Coprocessor v1.0 - 16,000 TOPS performance
• PCIe x8 Offload Coprocessor v1.0 - 16,000 TOPS performance
• Auto Coprocessor v2.0 - Advanced neural network processing
• Advanced AI Accelerator v2.0 - High-performance AI processing

2. GPU & Graphics Processing

• AutoPhi GPU v1.0 - High-performance graphics processing
• Display System v1.0 - Advanced display processing (HDMI, DisplayPort, VGA)
• Texture Processing Unit v1.0 - Specialized texture compression/decompression

3. CPU & Processing Units

• AutoPhi AFF CPU Core - Advanced out-of-order execution with multithreading
• Vector Processing Unit v1.0 - High-performance vector operations
• Matrix Accelerator v1.0 - Matrix operations and linear algebra

4. Interface & Communication

• PCIe Gen5/Gen6 Controllers - High-speed communication interfaces
• Memory Controllers - DDR4/DDR5 memory management

5. Power Management

• Advanced Power Management Unit - DVFS, power gating, thermal management
• Quantum-Classical Hybrid Power Management - Advanced quantum-enhanced optimization

Performance Tiers by Process Node

Variant	Process Node	Cores	Cache	Frequency	Target GFLOPS	Memory BW	AI Accelerators
Lite	10nm	64	32MB	2.0GHz	512	128 Gbps	1
Economy	7nm	128	64MB	2.5GHz	1,280	256 Gbps	2
Standard	5nm	256	128MB	3.0GHz	3,072	512 Gbps	4
Pro	5nm+	512	256MB	3.5GHz	7,168	768 Gbps	6
Enterprise	5nm++	1024	512MB	4.0GHz	16,384	1024 Gbps	8
Ultra	3nm	2048	1GB	4.5GHz	36,864	1536 Gbps	8
Quantum	3nm+	4096	2GB	5.0GHz	81,920	2048 Gbps	16
Extreme	3nm++	8192	4GB	5.5GHz	180,224	3072 Gbps	32

Key Functional Features

AI Acceleration Capabilities

• Neural Processing Units (NPU) - Dedicated AI acceleration hardware
• Tensor Cores - Matrix multiplication optimization
• Mixed Precision - FP16, FP32, INT8 support
• Convolution Engines - Optimized for deep learning workloads
• Framework Support - Universal, TensorFlow, PyTorch, ONNX compatibility

Memory System

• DDR5 Support - Latest memory standard with high bandwidth
• ECC Memory - Error-correcting code for reliability
• Multi-Channel - Up to 16 memory channels
• HBM Integration - High-bandwidth memory for AI workloads

Advanced Features

• Network-on-Chip (NoC) - Scalable interconnect architecture
• Hardware Security Modules - Dedicated security hardware with encryption
• Performance Monitoring - 16 performance counters for real-time metrics
• Thermal Management - Up to 64 temperature sensors with advanced throttling
• Chiplet Architecture - Modular design for dynamic expansion

Foundry Deliverables

Business Model