The funny part is that they still make money. It seems like once you’ve got the connections, being a VC is a very easy job these days.
Based on what? your feelings?
> being a VC is a very easy job these days.
There you go. Why hasn't everyone who have connections became VC.
My weak, uncited, understanding from then they're poorly positioned, i.e in our set they're still the guys who write you a big check for software, but in the VC set they're a joke: i.e. they misunderstood carpet bombing investment as something that scales, and went all in on way too many crypto firm. Now, they have embarrassed themselves with a ton of assets that need to get marked down, it's clearly behind the other bigs, but there's no forcing function to do markdowns.
So we get primal screams about politics and LLM-generated articles about how a $9K video card is the perfect blend between price and performance.
There's other comments effusively praising them on their unique technical expertise. I maintain a llama.cpp client on every platform you can think of. Nothing in this article makes any sense. If you're training, you wouldn't do it on only 4 $9K GPUs that you own. If you're inferencing, you're not getting much more out of this than you would a ~$2K Framework desktop.
I was with you up till here. Come on! CPU inferencing is not it, even macs struggle with bigger models, longer contexts (esp. visible when agentic stuff gets > 32k tokens).
The PRO6000 is the first gpu that actually makes sense to own from their "workstation" series.
The Framework Desktop thing is that has unified memory with the GPU, so much like an M-series, you can inference disproportionately large models.
Well, you're getting the ability to maintain a context bigger than 8K or so, for one thing.
As Mr. Hildebrand used to say, when you assume, you make...
(also note the article specifically frames this speccing out as about training :) not just me suggesting it)