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DigitalOcean has announced significant advancements in its cloud infrastructure tailored for AI workloads, emphasizing cost efficiency and performance scalability. Notably, Workato has successfully executed over one trillion automation tasks on DigitalOcean's Inference Engine, achieving a remarkable 67% reduction in costs while also seeing a 67% increase in throughput. Additionally, Character.ai is managing over one billion queries per day with double the production inference throughput, showcasing the robustness of DigitalOcean's AMD Instinct™ GPUs and their innovative approach to streamlining AI services. This is significant for the AI/ML community as DigitalOcean's comprehensive solution integrates multiple layers of AI processing—from data handling to inference—all within a single platform. Unlike traditional providers that may require convoluted setups across various disconnected services, DigitalOcean offers a seamless end-to-end experience, reducing latency and maximizing performance with features like sub-second Time-to-First-Token (TTFT) and improved unit economics. Their Inference Router optimally selects models for each task without needing code alteration, supporting a variety of workloads and enhancing the efficiency of AI deployments across the board.