3 New Groundbreaking AI Chips Explained

Timestamps:
00:00 - Intro
00:33 - New Blackwell GPU Explained
06:35 - Demand for AI Chips
07:01 - New 4 trillion transistors Chip
10:04 - Why do we need Huge Chips?
14:04 - New Analog Chip Explained

[anirudhapandey]

As an engineer from this industry, I would like to say this channel is very informative and UpToDate.

[igorkogan]

Hi Anastasia. Congrats! Another “huge” podcast. You are the only YouTuber uniquely qualified to bring the latest innovations in AI/processor technologies. I’ve been retired now for two years, after spending 40 years as a semiconductor equipment design engineer in Silicon Valley. So it’s especially fascinating to realize that not only Moore's law still relevant and striving, some technologies carry a promise to far exceed any expectations. Thank you, again for being such an enthusiast of your profession. P.S. it is especially fascinating that the first time I’ve even heard about private equity portfolio was on your program. Even your commercials are educating. 😊

[RonLWilson]

Way back when I was getting my BSEE in the 70's I always loved analog computers and am glad to see them now making a comeback!

[shahabdolatabadi]

Ma'am, if you are a chip designer, I think a profound and clear tutorial for computer architecture and practical chip design would be a contribution.
Thanks for your videos.

[douginorlando]

You are creating for yourself a remarkable reputation as the source of accurate knowledgeable and relevant IC technology. And this reputation is a valuable commodity that can’t be easily replaced. CONGRATS.
I’ve been around chip tech since the PDP8 computer was built on 7400 series Chips that only had a handful of gates per chip. There’s been many technology approaches & architectures over the years and you seem to have an accurate perspective of how the horse race of chip technology plays out.

[nahkanukke]

I have watched your content from beginning and it have been very informative. I love the way you present science of computing. Keep these comming. Thanks Anastasi🐿

[bakedbeings]

It was a bit easier to imagine useful outcomes for fp8 calculations, but 4 bit (1/8th precision!) is just wild. Fun times in computer science 🎉

[rafaelruiz-tagle]

As a person who has never been able to understand advance math, which has prevented me from becoming an electrical or mechanical engineer, I have always found this kind of technology incredibly fascinating.
Anastasia, you always explain things so well, and you always keep the entire segment fascinating. You make it "easy" for an inept person like myself to understand this material, and you make me "want" to learn more. Thank you for all the wonderful videos make! I wish I would've had you as my math professor. Maybe I would've been able to fulfill my dream and become an engineer. 🙂

[bbamboo]

My father taught me analog computing as a teenager, two pots could multiply. He was a rocket scientist and totally understood digital computing however he also continued to say that analog computing was not being used effectively. inertial guidance was partly analog in the beginning. How interesting to see the hybrid approach implemented in cmos.

[DaveShap]

Love your coverage. Great work. Thanks!

[bob]

Was looking forward to your video ever since the Blackwell event!! Thank you!

[imjody]

Love your deep dives into the latest technology, Anastasi! Thank you. :)

[pythonyousufparyani]

Thank You for another video. I am gonna watch it now.

[nopponw]

Thank you very much. You simplify the field that I ever thought i cant understand it to be more reasonable conversation. Please keep making this video 🎉

[HansVanIngelgom]

I once profiled a program that I suspected to be slow because it copied gigabytes of data multiple times. The copying time was only marginal. Instead, it spent most of the time performing a log calculation, then rounding the results. I implemented a low resolution log function that turned out to be faster than the fpu version. That's when I learned that calculating something up to an insane amount of digits is often a huge waste.

[SarahSchiffer-mjel]

Any chance you could cover Extropic AI and their new thermodynamic processors? I think it seems like a promising area of development but I havent seen it covered by any experts I trust

[iliasiosifidis]

I was excited about acceleration since 2021, that Blender changed from Cuda to Optix. Oh boy, same GPU, but 7 times faster renders!
Acceleration is the future for sure

[danmarquez]

Anastasi is insanely amazing! She is incredibly smart to understand this technology, and simultaneously, beautiful enough to be a super model! She represents the next step in human evolution!

[joe_limon]

There is a research paper showing scaling these networks down to binary and there was great efficiency, speed and memory gains.

[RestlessBenjamin]

Great video today. I've heard a little bit about these new chips but your explanations really helped me understand why they are so important.