yuzhenmao/IceCache

IceCache is a research-oriented implementation associated with a submission for ICLR 2026. While the underlying algorithm likely offers a novel approach to KV-cache management—a critical bottleneck in long-context LLM inference—the project currently lacks any community traction (0 stars, 0 forks) and exists primarily as a reference for academic peer review. The defensibility is low because in the current LLM landscape, specialized inference techniques are rapidly absorbed into dominant frameworks like vLLM (PagedAttention), SGLang, or NVIDIA's TensorRT-LLM. Frontier labs like OpenAI and Anthropic treat KV-cache optimization as a core proprietary advantage; if IceCache's methods prove superior, they will likely be re-implemented within months by these labs or open-source infrastructure giants. The project is an 'algorithm' play rather than a 'platform' play, meaning its value is easily extracted and ported into more robust ecosystems.