I'm curious about the performance differences between OpenAI's LLMs like ChatGPT-4o when hosted on Azure versus when they're run directly through OpenAI. We mainly use the OpenAI API, but we often hit rate limits, even with our Tier 5 partnership. I'd love to hear everyone's experiences or insights regarding speed and responsiveness.
3 Answers
Azure lets you configure token rates per deployment, which is great! If you need more speed, consider scaling up instances and balancing the load. Just keep in mind the limitations based on your subscription; I can't recall the exact numbers right now, but it’s worth checking out.
Honestly, it's fast enough for what I need. If Satya can code in real-time with it, I'm happy! Performance has never been an issue for me.
I haven't done a direct speed comparison, but I've noticed no speed issues except when making synchronous calls without streaming tokens—those felt really slow. When streaming, responsiveness is pretty good! Just a heads up, Azure has a hidden hard-cap rate limit that you won't discover until you hit it. I've managed to get around it by requesting a quota increase, and since then, I haven't had any speed issues.
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