Why NVIDIA is Terrified of This New AI Chip

[@Voidroamer]

hey, you are still alive! neat to see you around :)

[@epokaixyz]

Consider this your cheat sheet for applying the video's advice: 1. Explore Intel's Gaudi® offerings for faster and cheaper AI model training. 2. Support companies like Intel that promote open ecosystems and avoid vendor lock-in. 3. Consider the versatility of AI hardware like Gaudi® and its ability to handle diverse workloads. 4. Get hands-on experience with Gaudi® through cloud-based solutions like AWS.

[@abhayranade5815]

Nice video sir,one question,is any dedicated sdk available to access amd or intel core ultra NPU?

[@dcity-b4u]

As a tech geek, I also see value in this as an investment advice, it's on you Siraj if this stock doesn't peak 😂

[@frankbraker1320]

"I gotta train my AI model." After hitting the stop recording button on his camera, he goes to the other room to sit down with his baby AI and do exercises. What a good father! :)

[@samiloom8565]

Your videos are still very good

[@12_MPH_400_metres]

i am most mad about TSMC [Taiwan Semiconductor] has probably been getting subsidy from Taiwan for so many years. now TSMC is getting subsidy from the U.S.A. too.

[@TheHolyEagle33]

whats your stance on analog chips? stochastic computing may be the future of computers.

[@SirajRaval]

im not as bullish on them but ill do some more research. biological computing would be cool too

[@TheHolyEagle33]

@@SirajRaval analog computers and quantum analog computers are popular terms.

[@Met1900]

Can it run crysis on 1080p?

[@SirajRaval]

yes

[@ypey1]

Just bought my intel stock

[@levelup89204]

is crazy how people are sleeping on intel

[@leonardoruiz5994]

You are right

[@taxcle7267]

Nobody was sleeping on intel. We just hope for more competition.

[@yuvrajkukreja9727]

yay ! more cheeper ai hardware that breaks the nvedia monopaly !

[@ps3301]

If people have to pick the ultimate ai chip, Cerebras is better. Gaudi uses hdm that is always slower than sram.

[@SirajRaval]

i need to look into cerebras thanks

[@chinesesparrows]

Cerebras looks to be a binning and maintenance nightmare. Except for specialist needs more smaller more modular systems appear to be easier to operate, maintain and scale.

[@mvasa2582]

HBM2e and PCIe5 are still behind Nvidia. NVLink is far superior when you construct a large number of clusters. Intel has much more to prove for large-scale 80-100 billion parameter > 8K GPU-sized clusters. Infiniband may not be open standards - but it is far superior. We also have SpectrumX for Ethernet compatibility. Infiniband will play a crucial role in Blackwell when you are guaranteed 800Gbps between nodes or between all 36 GPUs in a Rack. Yes, this is by far a great option for training and probably the best price performance. We need to see more performance benchmarks. I would also love to hear about how you got your workload distribution and potentially CPU saturation working (if you did).

[@SirajRaval]

Sounds like you have a lot of experience, thanks for sharing. More benchmarks are coming soon, glad to see competition in this space

[@Kanze-f3y]

Very Sad. Mps wakijadili mtu mambo mhumu ya kusaidia Hawa imeachwa.

[@rousabout7578]

Pointless comparing the latest Intel chip with NVIDIAs previous generation chip. How does it compare to the new NVIDIA Blackwell chip?

[@BrutalStrike2]

I bet Intel uploading fake benchmarks as usual 😅

[@YouWillDoAsYouAreTold]

yeah 😂nvidia is definetly not scared

[@leonardoruiz5994]

You think that There are lawyers you know, if there claims are faked they would not go without problems Perhaps you just hate Intel

[@Betelgeusephotography]

As nvidia just says it's faster with no numbers

[@blueberryclash8893]

intel not recalling their faulty chips they might go bankrupt

[@covenant1231]

This guy is clueless