Foundational research powering efficient inference at scale

NVIDIA's focus on AI inference, as highlighted at the GTC 2026 conference, underscores its growing significance over training in shaping AI economics due to its ongoing costs, which comprise 80-90% of a production AI system's lifetime expenses. Inference is not merely about running models; it's an optimization challenge involving latency, throughput, and concurrency, which impacts product viability and unit economics. Together AI addresses these challenges with a comprehensive strategy involving research, systems engineering, and hardware optimization, showcasing advancements like FlashAttention and adaptive speculative decoding, which improve inference efficiency and reduce costs. The company emphasizes that optimizing inference not only enhances margins but also expands the potential for new use cases, positioning Together AI as a leader in enabling AI-native teams to scale efficiently on the AI Native Cloud platform.