* A Singapore based company, according to LinkedIn. There doesn't seem to be much of a barrier to entry to building a very good LLM.
* Open weight models + the development of Strix Halo / Ryzen AI Max makes me optimistic that running great LLMs locally will be relatively cheap in a few years.
I think the main limitation, right now, is hardware. For GPUs the main limit is the VRAM available on consumer models. CPUs have plenty of memory but don't have the bandwidth or vector compute power for LLMs. This is why I think the Strix Halo is so exciting: it has bandwidth + compute power plus a lot of memory. It's not quite where it needs to be to replace a dedicated GPU, but in a few iterations it could be.
I'm interested in other opinions. I'm no expert on this stuff.
How does the shared memory model for GPUs on Apple Silicon factor into this? These are technically consumer grade and not very expensive, but they can offer a huge amount of memory since all the memory is shared between CPU and GPU, even a midtier machine can easily have 100 GB of GPU memory.
If you squint the M4 is the same as the Strix Halo. The M4 has roughly
* double the bandwidth;
* half the compute; and
* double the price for comparable memory (128GB)
compared to the Strix Halo.
I'm more interested in the AMD chips because of cost plus, while I have an Apple laptop, I do most of my work on a Linux desktop. So a killer AMD chip works better for me. If you don't mind paying the Apple tax then a Mac is a viable option. I'm not sure on the software side of LLMs on Apple Silicon but I cannot imagine it's unusable.
I am also very interested in AMD's Strix Halo for running LLMs locally. For that I have a Framework Desktop in order (batch 1!).
Alex Ziskind on Youtube does videos comparing Strix Halo, M4 Mac mini and MacBook Pro, Nvidia 5090, etc. including power consumption. The only downside is one has to pull out the numbers from the videos, there's no tables or anything. Here is the recent video with testing Strix Halo and a Mac mini: https://www.youtube.com/watch?v=B7GDr-VFuEo
I don't know, what's worst with people running LLM locally compared to running any software locally?
There is nothing fundamentally new in having freedom in edge of societies. Yes it can lead to horrible situation, like someone kill neighbors, using the single handable bright new tool available to all. But that's far less of a concern than having the powerful new tool staying in full concentrated control of the greediest humans out there, who will gladly escalate any hindrance to genocide whenever something doesn't fit their perspective.
https://www.minimaxi.com is their website for the Chinese parent company 上海稀宇科技有限公司, https://minimax.io is their international website for the Singapore based company Nanonoble Pte Ltd that handles operations outside of China.
What source do you want? I have a few friends who work for them and they all live in either Shanghai (most) or Beijing. And I've never seen anyone who claimed they are based in Singapore or anywhere else before. Does this work?
Wikipedia in itself is no source, and after reading parents message I went there to check to and surprise surprise, neither of the statements have sources attached to it. None of the linked articles have any information about where their headquarters is either.
If someone knows of a trustworthy article that states it outright, please feel free to share.
I'm the OP who claimed it was Singaporean, after checking LinkedIn. I then found the Wikipedia page, which I posted above. Amongst the comments here there is also a link to a Bloomberg article about a potential IPO. I don't have a dog in the race. Just passing on what I found.
* A Singapore based company, according to LinkedIn. There doesn't seem to be much of a barrier to entry to building a very good LLM.
* Open weight models + the development of Strix Halo / Ryzen AI Max makes me optimistic that running great LLMs locally will be relatively cheap in a few years.