vLLM Framework

The Chinese SpikingBrain is a new family of brain-inspired large language models that reimagines how AI can process information more efficiently. SpikingBrain models adopt a biological principle: neurons remain idle until an event triggers them to fire. This event-driven design reduces unnecessary computation, cuts energy use, and enables faster responses. SpikingBrain achieves over 100× speedup in “time to first token” for sequences up to 4 million tokens. Energy consumption drops by 97% compared to traditional LLMs.