Netrasemi Domain Specific Architecture for Edge
Graph-stream Parallel Architecture
Netrasemi SoCs are powered with a Graph-stream hardware acceleration architecture. With the help of a heterogeneous computing fabric, the architecture achieves best in class AI and vector processing performance without overloading CPU. It also brings extreme flexibility for software to define graphs involving compute blocks such as Neural processors (NPU), vision processors (VPU), video encoders and Image signal processors (ISP). It then schedule workloads in a highly flexible manner. This brings extreme power efficiency as well as minimal development complexity.
Die-to-Die (D2D) Technology for Multi-Die integration
Netrasemi has a UCIe (Universal chiplet Interconnect express) based D2D interconnect technology for multi-die extension of our Domain Specific Architecture (DSA). With the help of our DSA we have the capabilities to support wide range of edge applications extending our Netra-SOC compute capabilities. This include high TOPs (Upto 100 TOPS) neural chips and hybrid application processors for communication and other technology domains. Netrasemi is looking for partnerships to enable a chiplet based multi-die technology roadmap of our DSA through technology collaboration.
WHY NETRASEMI ?
Netrasemi’s highly parallel architecture with the Graph-stream execution pipeline enables superior performance with minimal CPU involvement and provides the best-in-class hardware acceleration.
Netrasemi offers a flexible software architecture that allows AI/ ML development with Minimal or No Coding efforts through the use of heterogeneous hardware kernels.
We enable highly secure chips with Chain-of-Trust and are implemented with secure hardware, enabling protection at all levels for secure IoT computing.
Our highly-efficient DSA architecture scales from 4-100 TOPs with high IO flexibility.
Netrasemi’s SmartEdge software studio, reference hardware kits, and a set of demo applications enable agile product development.
Netrasemi’s superior Deep Neural Processor- Tej-NPU IP Core helps to achieve AI/ ML edge computing applications with superior performance.