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Re:Stability AI: Emad Mostaque resigned from his role as CEO by AnthonyMouse on Saturday March 23, 2024 @02:50AM (#39797974)
You can get registered DDR4 for ~$1/GB. A trillion parameter model in FP16 would need ~2TB. Servers that support that much are actually cheap (~$200), the main cost would be the ~$2000 in memory itself. That is going to be dog slow but you can certainly do it if you want to and it doesn't cost $50,000.
Re:Stability AI: Emad Mostaque resigned from his role as CEO by fauigerzigerk on Saturday March 23, 2024 @03:51AM (#39798239)
How slow? Depending on the task I fear it could be too slow to be useful.

I believe there is some research on how to distribute large models across multiple GPUs, which could make the cost less lumpy.

Re:Stability AI: Emad Mostaque resigned from his role as CEO by AnthonyMouse on Saturday March 23, 2024 @04:22AM (#39798336)
You can get a decent approximation for LLM performance in tokens/second by dividing the model size in GB by the system's memory bandwidth. That's assuming it's well-optimized and memory rather than compute bound, but those are often both true or pretty close.

And "depending on the task" is the point. There are systems that would be uselessly slow for real-time interaction but if your concern is to have it process confidential data you don't want to upload to a third party you can just let it run and come back whenever it finishes. And releasing the model allows people to do the latter even if machines necessary to do the former are still prohibitively expensive.

Also, hardware gets cheaper over time and it's useful to have the model out there so it's well-optimized and stable by the time fast hardware becomes affordable instead of waiting for the hardware and only then getting to work on the code.

Re:Stability AI: Emad Mostaque resigned from his role as CEO by bawana on Saturday March 23, 2024 @09:25AM (#39799766)
Why would increasing memory bandwidth reduce performance? You said "You can get a decent approximation for LLM performance in tokens/second by dividing the model size in GB by the system's memory bandwidth"
Re:Stability AI: Emad Mostaque resigned from his role as CEO by AnthonyMouse on Sunday March 24, 2024 @03:43AM (#39805674)
Memory bandwidth is in the denominator. Making it bigger makes tokens/second go up.
Re:Stability AI: Emad Mostaque resigned from his role as CEO by AnthonyMouse on Sunday March 24, 2024 @04:27AM (#39805819)
Yeah the sentence is backwards, you divide the system's memory bandwidth by the size of the model.
Re:Stability AI: Emad Mostaque resigned from his role as CEO by FireBeyond on Saturday March 23, 2024 @12:42PM (#39801207)
Even looking on Amazon, DDR4 seems still a decent bit above $2/GB:

2 x 32GB: $142

2 x 64GB: $318

8GB: $16

2 x 16GB: $64

2TB of 128GB DDR4 ECC: $9,600 (https://www.amazon.com/NEMIX-RAM-Registered-Compatible-Mothe...)

> Servers that support that much are actually cheap (~$200)

What does this mean? What motherboards support 2TB of RAM at $200? Most of them are pushing $1,000. With no CPU.

It may not hit $50K, but it's definitely not going to be $2K.

Re:Stability AI: Emad Mostaque resigned from his role as CEO by AnthonyMouse on Sunday March 24, 2024 @03:49AM (#39805692)
Here's a server that supports 3TB of memory for $130, you get 3TB by filling all 24 memory slots with 128GB LRDIMMs, 2TB with 16:

https://www.ebay.com/itm/176298520843

Here are 128GB LRDIMMs for $98:

https://www.ebay.com/itm/196305803969

For 2TB and the server you're at $1698. You can get a drive bracket for a few bucks and a 2TB SSD for $100 and have almost $200 left over to put faster CPUs in it if you want to.