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by 34679 296 days ago
"By deploying this implementation locally, it translates to a cost of $0.20/1M output tokens"

Is that just the cost of electricity, or does it include the cost of the GPUs spread out over their predicted lifetime?

3 comments

This is all costs included. Thats 22k tokens per second per node, so per 8 h100's. With 12 nodes they get 264k tokens per second, or 950 million an hour. This get's you to roughly $0.2021 per million at $2 an hour for an h100, which is what they go for on services such as runpod.io . (cheaper if not paying spot-price + volume discounts).
” Our implementation, shown in the figure above, runs on 12 nodes in the Atlas Cloud, each equipped with 8 H100 GPUs.”

Maybe the cost of renting?

I'm confused because I wouldn't consider a cloud implementation to be local.
Local doesn't refer to "on metal" anymore to many people
"On metal" is muddied too. I've heard people refer to web apps running in an OCI container as being "bare metal" deployment, as opposed to AWS or whatever hosting platform.

That's silly, but the idea that "local" is not the opposite of remote is even sillier.

If you do bare metal as not being under a VM it fits. OCI on linux is cgroup so that counts as not a VM I'd say. Or at least it's a layer closer to the metal than a typical VM running OCI images.

I a Java app running on Linux bare metal?

You can run an OCI container on bare metal though. It doesn't stop being run on bare metal just because you're running in kernel namespaces, aka docker container

Lots of people were advocating for running their k8s on bare metal servers to maximize the performance of their containers

Now wherever that's applied to your conversation... I've no clue, too little context ( 。 ŏ ﹏ ŏ )

In my opinion, if you're running k8s on bare metal, that's "k8s on bare metal" but still "<your app> on kubernetes", not "<your app> on bare metal".
Local doesn’t need to be “on metal,” but I’m still confused as to what they are saying. Are they running some local cloud system?
I missed that train
My basement server really confused by all this...
The one down in your Gaza tunnels?
I guess local for him is independent/private.
H100's can be $2 and hour, so $192 an hour for the full cluster. They report 22k tokens per second, so ~ 80 million an hour, thats $16 an hour at $0.2 per million. Maybe a bit more for input tokens, but it seems a long way off.
I think you mis-read. Thats 22k tokens per second per node, so per 8 h100's. With 12 nodes they get 264k tokens per second, or 950 million an hour. This get's you to roughly $0.2021 per million at $2 an hour.
I'm curious as well.

Depreciation and GPU failure rate over time must be considered, which I don't see mentioned in the article.