A 3.2x increase in inference speed defines the new LFM2.5-DSpark optimization. This update targets latency bottlenecks in large-scale model deployment. It enables faster token generation without sacrificing accuracy. Developers can now deploy these models with significantly lower compute overhead, reducing the cost of real-time AI applications for end users.