Wafer is making themselves synonymous with slop in the inference space. Exaggerated unfair comparisons in all their results, twitter hype posts with alarm emojis etc.

> $2.50/GPU-hr for the MI355X, $6.00 for the B300, and $4.25 for the B200.

This is not an accurate price comparison for real terms.

This is a company that launched a token subscription (WaferPass), before weeks later, rugpulling the plan for being unsustainable while simultaneously claiming they achieved incredible inference efficiency gains worthy of paying them mind.

I went the gpus.io website & it’s $2.95/hr right now, this is like comparing MSRP to actual market price. B300s are in demand & hence cost more, but these lazy editors at wafer.ai can't be bothered to do TCO on actual ownership nor share code to replicate their setups. Instead just relying on current market prices to win one row, which isnt even about per/$ on actual MSRPs.

gpus.io shows tensorweave pricing at $2.95/hr. Tensorweave just shows "Talk to sales".

Most discourse around GPU prices is nonsense right now. Some people using Spot prices for providers who won't have Spot capacity, some people using hourly rates for instances that are never in stock, some people ignoring commitment discounts.

Not to mention no one serious is serving this on 8xB200 instead of multiple nodes: the vast majority of Moonshot's inference work is focused on PD-disaggregation

> Not to mention no one serious is serving this on 8xB200 instead of multiple nodes: the vast majority of Moonshot's inference work is focused on PD-disaggregation

The GPU price discourse is absurd, but many are serving models on single node setups when the model fits

You can't beat current API pricing running Kimi K3 a single node, so as I said anyone serious is not doing that for Kimi K3.

Not sure how you're getting "no one serves models on a single node" out of that.

I meant serious players often do serve on a single node. They can beat API pricing as well. Multi-node can add gain, but also adds a lot of deployment complexity so its just not always possible or optimal.

There is barely any effort, a simple GPT5.6 sol pro query rips the post apart.

if you did that in the web interface, could you share the chat? I'd be interested to read it.

thanks for sharing.

When I read your original comment, I was thinking you had just asked it to evaluate the article. (Like just "evaluate this article" or something.)

I don't think anything anyone (or any AI) has ever written or published (including Sol itself) wouldn't be torn apart by the prompt you gave though.

I think it's fair to expect an extensive review of an article before publishing. Not everything has a set of serious flaws.

>Not everything has a set of serious flaws.

I'm saying everything looks like it does, with the prompt you gave Sol. Go ahead and point the same prompt to anything you don't think has serious flaws and you'll see it would tear it apart.

It doesn't look like it has found a set of serious flaws to me. Just nitpicking.

To begin with, as I pointed out separately, the price comparison that makes the headline is absurd. No one is easily getting the MI355X's at $2.5/hr. And then the eval is unreplicable and poorly defined.