Optimizing inference speed and costs: Lessons learned from large-scale deployments
Together AI has launched a brand refresh, emphasizing its role as an "AI Native Cloud" designed for builders of AI-native applications. The company is focusing on optimizing inference for efficiency and cost-effectiveness, a critical factor for AI products that scale rapidly. They are integrating advanced research, such as adaptive speculative decoding and quantization techniques, into their platform to improve performance and reduce costs for customers like Cursor and Decagon. AI
IMPACT Together AI's focus on optimizing inference infrastructure and costs is crucial for the economic viability and scalability of AI-native applications.