A 3.2x increase in inference speed defines the new LFM2.5-DSpark optimization. This update targets latency bottlenecks in large foundation models to accelerate real-time responses. It offers a modest performance gain for high-throughput environments. Developers can now deploy Hugging Face models with significantly lower compute overhead per token generated.