Six years ago, we embarked on a journey to develop an AI inference serving solution specifically designed for high-throughput and time-sensitive production use cases from the ground up. At that time, ML developers were deploying bespoke, framework-specific AI solutions, which were driving up their operational costs and not meeting their latency and throughput service level agreements.
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