SoC Platform
AI Inference Platform
AI Inference Platform
SEMIFIVE SoC Platforms can quickly turn your critical IPs or winning specifications into fully functioning SoC at a fraction of risk, time, and effort. The AI Inference SoC Platform offers the best solution to build custom AI inference accelerators, enabled with silicon-proven design components on Samsung 14nm process and extensive hardware/software environments to instantly get your chip ready for systems.
Quad-Core U74 RISC-V (up to 1GHz)
LPDDR4 x 32 4ch
@ 4.267Gbps
PCIe Gen4 x 8 lanes
Highlights
- Silicon verified with multiple customers adoption
- Optimized for high performance, power efficient AI and inference applications
- Built using Samsung Foundry’s mass production proven 14nm FinFET process technology
- Complete solution with:
- Package design and implementation
- Evaluation board
- Software and drivers
Target Applications
- Data center accelerator
- AI Vision processor
- Big data analytics
- Image/Video recognition
- ADAS with real time processing
AI Inference SoC Platform
Key Features
- Process Node: 14nm FinFET
- Operating Frequency: 2GHz
- Hierarchical Design
- Physical Partitions: 19
- Gate Count: 694M
- Instance Count: 109M
- Main IPs
- SiFive RISC-V U74-MC CPU @1GHz
- LPDDR4 x32 4ch @4.267Gbps
- PCIe Gen4 x 8 lanes
- Custom IP (example)
- High-performance AI Neural Engine IP @2GHz
- Others
- I/O interfaces
- System controllers
- Software support
- Low power features
SoC Platform Engagement Models
Max Efficiency Model
By reusing the platform architecture and feature subblock tailored for this domain, customers can focus on their differentiation and maximize efficiency of SoC development. Perfect for SoC prototyping or high-value applications that require super-fast time-to-market speed.
Max Flexibility Model
SEMIFIVE Platform technology offers flexibility to configure the platform architecture to your application’s special requirements. SEMIFIVE can also develop new subblock design to add features necessary for the application. It’s the best way to explore the trade-offs between time and cost.
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