A 3.2x increase in inference speed defines the new LFM2.5-DSpark optimization. This update streamlines how the model processes tokens without sacrificing accuracy. It targets latency bottlenecks in high-throughput environments. Developers can now deploy these models with significantly lower compute overhead, reducing the cost of scaling real-time AI applications.