Alright, so I dove into this whole thing about Huawei’s new AI gadget — the CloudMatrix 384. It’s kind of like this super fancy, brainy computer thing that’s supposed to be a beast. And apparently, a bunch of big-shot Chinese techies are really digging it. They say it’s giving NVIDIA a run for their money, especially in places like China. Which, honestly, sounds like a big deal, right?
Okay, here’s the scoop. Huawei is on this mission, like some relentless marathon runner, trying to push its AI stuff to the max. They’ve launched this CloudMatrix 384 thingy, and according to all the buzz, it’s built entirely from their own materials. No outsourcing. Like a homemade pie but with tech and wires and stuff. It’s reportedly got NVIDIA sweating a bit. Or maybe that’s just me imagining things.
Anyway, I heard from somewhere — maybe Financial Times? — that about ten big companies have already hopped on this CloudMatrix train. But, oddly, no one’s spilling the beans on who they are. Just that they’re key players in Huawei’s market. It’s like trying to figure out who ate the last cookie. Mysterious. But then, Huawei’s been planting seeds with this thing for a while now; guess it’s finally blooming, huh?
Now, specs — here’s where it gets nerdy. This CloudMatrix 384 setup is packed with these Ascend 910C chips in some kind of web… uh, “all-to-all topology”? Whatever that means. They jammed in five times more chips than NVIDIA’s best — seems like Huawei just wanted to out-chip everyone. But, here’s a twist: it eats up like 3.9 times the power. So, efficiency’s not exactly its thing.
Price tag? Oh boy, it’s steep. Eight million bucks for this AI marvel, which is almost triple what you’d pay for NVIDIA’s top dog setup. Guess the goal wasn’t to be budget-friendly but to shout, “Hey, we made this ourselves, and it’s strong enough to hang with the big dogs from the West.”
So, yeah, it’s like Huawei made this monstrous AI toy — not cheap, not energy-efficient, but definitely kicking up some dust in the tech arena. Okay, I’m rambling. But you get it, right?