"Time to market was crucial for us. We knew we had the best models, but if we couldn’t stand up serving infrastructure quickly, there would be no way to build a business around our AI."
"A big portion of our latency was speech-to-text. We wanted to reduce latency without affecting the quality and accuracy of our responses. Beyond that, we also wanted a partner who could help us explore and stay up to date with new model releases and performance optimizations to ensure we always …
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