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There are a large number of reasons the AI datacenters are geographically distributed--just to list a few off the top of my head which come up as top drivers: l
by scottcha 2y ago
There are a large number of reasons the AI datacenters are geographically distributed--just to list a few off the top of my head which come up as top drivers: latency, data sovereignty, resilience, grid capacity, renewable energy availability.
- Karrot_Kream 2y agoWhy does latency matter for a model that responds in 10s of seconds? Latency to a datacenter is measured in 10s or 100s of milliseconds, which is 3-4 orders of magnitude less.
- scottcha 2y agoTwo reasons that I understand 1. not all these AIs are LLMs and many have much lower latency SLAs than chat and 2. These are just one part of a service architecture and when you have multiple latencies across the stack they tend to have multiplicative effects.
- recursivecaveat 2y agoIf you look at a model with a diverse competitive provider set like llama 3 the latency is 1/4 second, and it will definitely improve at a minimum incrementally if quality is held constant: https://artificialanalysis.ai/models/llama-3-3-instruct-70b/providers#latency https://artificialanalysis.ai/models/llama-3-3-instruct-70b/... Remember that as long as you experience the response linearly (very much the case for audio output for eg) then the first-chunk latency is your actual latency, not to stream the entire response.