Banana Pi Unveils RISC-V AI Platforms with 60 TOPS and 30B LLM Inference

The release of Banana Pi's BPI‑SM10 Developer Kit and K3 Pico‑ITX AI Industrial SBC marks a pivotal moment for the RISC-V ecosystem and the broader edge AI landscape. Launched in April 2026, these platforms are powered by the SpacemiT K3 RISC‑V AI chip, which is notably the world’s first RVA23-certified RISC‑V AI processor. This development signifies a maturing of RISC-V architecture for high-performance AI workloads, challenging the dominance of established instruction set architectures in critical embedded and edge computing applications.

The SpacemiT K3 chip boasts impressive specifications, including 60 TOPS of AI compute and the ability to run 30B-parameter large language models (LLMs) on-device at over 10 tokens per second. Its architecture integrates eight X100™ high-performance RISC-V general-purpose cores with eight A100™ dedicated AI compute cores, providing a balanced solution for both general computing and intensive AI tasks. With memory options up to 32GB LPDDR5 and a power envelope of 18W–35W, these platforms are designed for energy efficiency without compromising performance, targeting applications from autonomous AI agents and service robots to industrial automation and in-vehicle domain controllers.

The strategic implications are profound, particularly for the decentralization of AI processing. By enabling robust LLM inference directly on edge devices, these Banana Pi offerings reduce latency, enhance data privacy by minimizing cloud transfers, and lower operational costs associated with cloud-based AI. This shift empowers the development of more autonomous and responsive AI systems, fostering innovation in areas where real-time, local processing is critical. The success of these platforms will, however, depend on the continued expansion of the RISC-V software ecosystem and developer tools to fully leverage their hardware capabilities, potentially accelerating the transition towards a more distributed AI infrastructure.