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| ▲ | kube-system an hour ago | parent [-] | | Perhaps your prior comment would’ve been better received if it said that specifically instead of “Chinese models”. But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag, and is a sunk cost that will probably not run any other frontier model anytime soon. Most organizations are not looking to spend millions of dollars trying to find a workaround to specifically run DeepSeek. Most enterprise consumption in this space is still very experimental and a pay as you go model is much more palatable. Most are simply just looking for three checkboxes: is it close to frontier performance, is it compliant with my organizations requirements, and is it a good price? DeepSeek can only do two of the three at the same time. | | |
| ▲ | zozbot234 an hour ago | parent | next [-] | | > But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnitude. Even then, experimentation can be done with cheap neoclouds on a pay-as-you-go basis. | | |
| ▲ | kube-system an hour ago | parent [-] | | I’m aware. The context of the discussion here is choosing DeepSeek over a US hosted model from Google, Anthropic or OpenAI. The equivalent comparison would be running it at full frontier quality. If you want less than frontier quality, there’s tons of great open weight models other than DeepSeek. > cheap neoclouds Again, fails the compliance checkbox. | | |
| ▲ | zozbot234 31 minutes ago | parent | next [-] | | > Again, fails the compliance checkbox. OK, then the not-so-cheap hyperscalers that these enterprises are already relying on. E.g. AWS Bedrock will run these models. It's silly to insist on all three of your checkboxes being ticked anyway - U.S. proprietary models don't give you that because the frontier ones are super expensive and the mini models have only barely acceptable cost. | |
| ▲ | qarl 33 minutes ago | parent | prev | next [-] | | Azure serves DeepSeek V4 Pro, about 10X cheaper than GPT-5.5. | |
| ▲ | qarl an hour ago | parent | prev [-] | | [flagged] |
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| ▲ | qarl an hour ago | parent | prev [-] | | My most sincere apologies for shortening "the vast majority of Chinese models" to simply "Chinese models". I can see now why I was being downvoted - you have explained it eloquently. (Your cost analysis is flawed and irrelevant. Azure serves V4 Pro.) |
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