We built SiMM because LLM context lengths are growing much faster than GPU memory.With long Chain-of-Thought reasoning and multi-turn agents, prompts are getting much longer. According to OpenRouter’s State of AI 2025, average context length has grown about 4…
SiMM is a high-performance, scalable Key-Value (KV) cache engine designed for LLM inference workloads. It addresses the critical bottlenecks in long-context prompts and multi-turn agent interactions … [+9177 chars]
