Agree. It's a terrible time to want a new Nvidia card for gaming or AI projects. I had a 4070 Ti Super in my cart for a while at a cool $700 on Amazon - now it's out of stock and secondhand I can find it for double that now.
If one doesn't require the latest DLSS or need first-class AI support, get an AMD card.
Thankfully the ONNX runtime supports AMD's ROCm. The performance is nowhere close to Nvidia's TensorRT, but doing inference on an AMD GPU is doable. I haven't ran the numbers, but I wouldn't be surprised if you could get more throughput per dollar on an AMD GPU for at least some scenarios. AFAIK there aren't any great options for training though, so if you want to do anything besides running ONNX models your options are limited.
It's probably false to say they're leaving money on the table. They'd be leaving a lot more money on the table if they allocated chips towards consumer gaming GPUs instead of maxing out the server AI/GPU compute segment. The entire gaming market constitutes like 15%-or-less of their revenue nowadays.
And Nvidia has enough mindshare that they could piss on consumers for the next 3 release cycles and still have more than half the market. I don't like it but it's reality.
Yep, all 10 they shipped sold instantly at 2x MSRP. Prices on 3090's (not a typo) are going up ffs, because there is nothing out there on the NVIDIA front.
Egg production fell because of avian flu, which the US has regulatory restrictions limiting the usage of the vaccine in agriculture compared to other developed nations. Its not an intentional crisis.
NVidia doesn't make the chips, they just design them, so it is a flex. People are literally buying their cards faster than they can be produced. TSMC is building new fabs to make more nvidia chips faster.
NVidia decide how they allocate their wafer starts at TSMC. Consumer chips have lower margin than datacenter parts, so they almost certainly allocated comparatively little volume to consumer chips.
On the one hand, this is a great situation to be in for Nvidia in terms of overall revenue.
On the other hand, this has allowed AMD to grab market share with the RX 9000 series launch, at least in the short term. So the narrow point that Geforce is sold out is decidedly not a flex.
GTC stands for GPU Technology Conference, for anybody else who wasn't familiar with the acronym. Surprisingly they don't have it spelled out anywhere on the homepage.
It means “envy” in Latin and Spanish etc.
Which is why the logo is an acid green evil eye.
And why NVIDIA’s headquarters are two buildings named “ENdeavor” and “Voyager”.
Nvidia has lost the hearts and minds - I'm not just not interested in or excited by anything Nvidia - there's a baseline expectation of their products being overpriced and aimed at stiffing the customer.
what's the better alternative, DIY AMD? No, thanks. I'm interested in the result, not the process. In terms of robotic software there is just nobody close. Any attempt to port it to different hardware will be just a big pain and limited result at best. So NVidia looks to be the way to go till China catches up.
honestly, seeing a company that craps so hard on a core customer group still succeed THAT much just because of some random trends is just sad. and yet people are still willing and continue to vote with their wallets (as the comment below was proving). what a mess
The video glitches out at 2:14:30 where Jensen would be introducing DGX Spark and Station. Does anyone have a link to a working video for that segment?
DGX Spark has the same memory as AMD Strix Halo, a weaker CPU, but perhaps a stronger GPU, except that for now there is no data about the GPU, besides that it might be stronger for AI inference (only FP4 speed is given). For now it is not known whether for graphics it will be better than Strix Halo.
While DGX Spark might be weaker than AMD Strix Halo for anything else except AI Inference, it will still be stronger than any mini-PC made with Intel Arrow Lake H or with AMD Strix Point.
I'm somewhat surprised they are not explicitly mentioning the networking capabilities. There should be two QSFP(?) ports but they don't mention if their speeds and supported protocols (possibly not just Ethernet but also infiniband, but probably not).
You seem to have somehow missed one of the most significant advancements in human history suddenly exploding out of the pages of science fiction and fundamentally altering our existence forever. Minor oversight.
Ah yes, a chat bot that is consistently failing to do such advanced tasks as counting letters in words is definitely life-changing, right next to the metaverse and NFTs.
That's what everybody was predicting based on the memory technology and the pictures. I'm just glad to hear about DGX Station, though I doubt I'll be able to afford one.
how much is it expected, my guess barely fits in 5 digits. Would be nice to have something in between Spark and Station. I.e. some desktop withing $20K.
Readit News
not a flex
If one doesn't require the latest DLSS or need first-class AI support, get an AMD card.
If you want for AI, your best bet is a used 3090 for $700-800. The ram is more important and that card is still faster than a 4070.
And Nvidia has enough mindshare that they could piss on consumers for the next 3 release cycles and still have more than half the market. I don't like it but it's reality.
nVidia GPUs have basically been an inflation hedge for the past few years lol
Reminds me of the current egg "crisis".
On the one hand, this is a great situation to be in for Nvidia in terms of overall revenue.
On the other hand, this has allowed AMD to grab market share with the RX 9000 series launch, at least in the short term. So the narrow point that Geforce is sold out is decidedly not a flex.
The idea it’s hard to buy a standard Nvidia GPU in the consumer lineup is absurd.
An outcome of greed.
https://www.nvidia.com/en-us/products/workstations/dgx-spark...
DGX Spark has the same memory as AMD Strix Halo, a weaker CPU, but perhaps a stronger GPU, except that for now there is no data about the GPU, besides that it might be stronger for AI inference (only FP4 speed is given). For now it is not known whether for graphics it will be better than Strix Halo.
While DGX Spark might be weaker than AMD Strix Halo for anything else except AI Inference, it will still be stronger than any mini-PC made with Intel Arrow Lake H or with AMD Strix Point.
20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
Anandtech's 2024 article about the X925 & A725 Arm cpu cores:
https://www.anandtech.com/show/21399/arm-unveils-2024-cpu-co...
Could be 2x200 Gbit/s, could also be much less.
Compare the Disney robots at the end of 2024 and 2025
2040: https://youtu.be/Y2F8yisiS6E?t=6968
2025: https://youtu.be/_waPvOwL9Z8?t=9042
Very unfortunate time for it to cut out
how much is it expected, my guess barely fits in 5 digits. Would be nice to have something in between Spark and Station. I.e. some desktop withing $20K.
https://www.theverge.com/news/631957/nvidia-dgx-spark-statio...
10Gb vs 5Gb Ethernet
1 HDMI 2.1, 4 x USB TypeC vs 1 HDMI 2.1, 2 Displayport, 2 USB TypeC