OneTriangle
Inference optimized from KV cache transfer
OneTriangle is an inference engine that reduces the cost and latency of running large language models by transferring KV cache between models. Prefill is performed on a smaller model, then the cache is projected into the attention space of a larger model for decoding, avoiding repeated prefill computation on long inputs. Transfers are gated on quality and latency for each model pair, with ordinary prefill used when a pair does not meet those thresholds.
The engine supports open-weight models including Llama, Qwen, Mistral, Gemma, and DeepSeek. OneTriangle handles GPU infrastructure and serving, with model selection changed through configuration. The company describes its work as portable context for multi-model inference, with the goal of moving computed context across models without recomputing it. The pages do not specify pricing, plans, or trial availability.
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