RRAM and RISC V based AI inference chip by TetraMem

Andes Technology and TetraMem are in for a strategic partnership to develop AI inference chip. AI inference chip for AI edge computing to advance computing in autonomous vehicles, smart cities, healthcare, cybersecurity, and entertainment by having on-device AI computing capability . TetraMem, analog memristor tech and in-memory computing expert has licensed Andes RISC-V NX27V vector CPU with ACE (Andes Custom Extension) to create a cutting-edge solution that addresses the challenges of AI processing in power-constrained environments. Both companies are collaborating to combine Andes' RISC-V Vector CPU with TetraMem's an analog RRAM based in-memory computing architecture through ACE to enable tight coupling for the best performance and a fast, energy-efficient AI inference breaking the memory wall and typical "Moore’s Law” constraints. Features of the AI Accelerator Chip: 1. RISC-V Vector CPU Excellence: Andes RISC-V Vector CPU cores are known for their exceptional performance, efficiency, and configurability, making them ideal for a wide range of AI and edge computing applications. The addition of Andes powerful vector processor brings unparalleled performance capabilities to the accelerator chip. 2. Analog In-Memory Computing Prowess: TetraMem's unique, analog in-memory computing technology empowers the chip with massively parallel VMM computation without d...