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this could be an annual stream ! would pay to watch

I'm surprised that these clean rooms don't use SpaceX suits (with a special coating).. And as the process gets smaller, I'd suspect that these fabs will need to be constructed in mountains to contend with space radiation and the purity of the compounds so high that there will be very high cost prohibitions.. and I wonder about the longevity and delicacy o the newer chips..

Will you test the snapdragon xelite？

What I do not get is this: A chip has billions of switches. Every chip must be designed by a person and for a reason. One thousand switch designers needs to design more than one million switches to be fed into the mechanics of a chip making machine. How is that possible? It boggles my mind. What is the best book to read on the subject of chip design and manufacture?

How much it cost to manufacture a Snapdragon X elite chip by tsmc? And how much did snapdragon charge for each chip?

What many people misunderstand about cache is that more does not mean better performance. There is typically a sweet spot that works best for *_most_* applications which is what most processors use. Adding more cache is costly and has diminishing returns, and for some applications it will have negative returns. The way to think about cache is like a bookshelf. If you have a bookcase to store all the books you have, you likely want a bookshelf to store the books you are currently reading. You keep the bookcase in the library or dining room, and you keep your bookshelf in the bedroom to read before going to bed. The bookshelf obviously saves you walking time and searching time compared to the bookcase in another room, that's not in question. Now, replace your bookshelf in the bedroom with a bookcase, and you see where this is going... Now you have to search through the nearby bookcase instead of having that instant access you previously had with the bookshelf. Cache is not just fast because of its hardware, distance and data lines, it's also fast because of its small size. The bigger it is, the more management overhead there will be when using it. So if we imagine a world where we replaced RAM with memory as fast as cache, we would still need decreasing levels of cache (even if they were the same speed) to allow for that faster access. It really is not just a simple "more is better" equation.

Tell the ceo to get back to kitchen

How much is it?

If you gotta poop...blast out the brown sauce with the force of a fire hydrant. 🔥 Drill a hole in your bowl baby! Lets goo! 💩

probably the processor that will control such a machine will not produce a blue screen

I’ll wait for the Ampere pro max ultra😂

Turns out mouth bacteria eat cerebras chips 😂

Word on the street is Amazon might be stopping graviton4 development due to the competition heating up between the x86 vendors. With both of them yielding cloudy x86 server CPUs that are very armlike in performance and power characteristics, doesn't seem like the R&D cost to go custom chips is as attractive as it was five years ago.

Thanks!

Oracle and DB2 is still most optimized on s390x architecture - you want less cores that are much more dense - high cache and throughput, I/o offloading

One really great use case for these affordable chips is development. We have a 80-core at work and I use it every single day for testing code for scalability, as a build machine when I need to bisect some regressions since it builds super fast, to validate various assumptions etc. The machine is small, super fast, not very expensive and lends way more services to me than the 24-core AMD EPYC that's next to it and that I start once every 4 months.

Absolutely great science-based video! We need more transparent technology information like your video, not marketing slogans in technical specifications

I would love for Ampere to sell not only chips, but also their naming scheme to AMD and Intel 😇 Also, is there any chance that we get some insights about Atomic Semi anytime soon?

All for a good cores

99% of users do not need 256 CPU cores to do anything at all. 8 to 12 cores can easily render 12K video.

I wonder how they got away with registering the "Altra" brand, considering that Intel bought "Altera" years ago.

Will you be reviewing WoA for testing emulation performance and other things? Is there ampere DTK for end user testing?

ur hair is gettin crazy,.lol, nice video

,oo

where would one go to buy one of these? asking for a friend

lol I am the guy that yelled at you guys for one of your hoods being inside out! 😂

Will it run crisis or mine sweeper? I could put that to it's knees rendering, love the cores.

ive had my arm based computer for two years and its life changing

Linus needs to get one and do a 64 gamers one cpu vid.

Lol it fails to even beat Bergamo

Is not that just a GPU with more General Computing capacity? Let me see. the AMD Radeon 520 has 320 shader processors... so it is close.

I like Altra. Also I like they do not do BS marketing, or AI hype. They work, then deliver. Not super frequently, but very solid and industry leading. (the "predictable" performance marketing, or comparisons to x86, are a bit misleading, because it highly depends on workload). Also do love you can buy motherboards in various form factors, and systems from various vendors (Asrock, Supermicro, Tyan, Asus, Gigabyte mostly). I think most of the secret souse is in SoC mesh and coherency fabric scaling, and L3 partitioning and memory bandwidth partitioning. Similar to Intel RDT. It is hard to believe their new CPU is based on a custom core IP. Maybe custom core IP is also a hedge, so they can pivot to RISC-V by changing frontend, and doing some adjustments, if needed. (Sure it would require a lot of software rework, but who knows). Extrapolating. Prospect of ~500 cores from Altra in 3 years, is bonkers.

I wouldn't be totally opposed to getting an AmpereOne based system but I really need a plain English guide on how to use ARM intrinsics / AVX equivalent instructions, and a realistic performance comparison to the competition; there was a lot of marketing with Ampere Altra, and a lot of reference to "Ampere optimized Pytorch" and so on, but when I can pick up a Xeon Scalable 5th gen, or an Epyc 9004 series and just grab any software off the shelf and know it works, with a huge wealth of legacy resources online to learn how to use them effectively, it's just a bit too scary to take the plunge. On Intel I could find no fewer than five guides on running or optimizing various AI workloads for the chip, and on AMD you can basically just use Intel's software (lol) but faster, or use AMD's specific implementations (ZenDNN, AOCL, etc.)

I like memory bandwidth

Is this going to be in the galaxy s25?

You are still going to care about noisy neighbours due to cache and io contention.

Is it correct that Nuvia was build ARM for the data center before Qualcomm bought them?

With that many Cores, you really need to look at the Memory and Cache Coherency Architecture.

"you can buy this stuff" this is the future of commerce

hair looks metallic

Burning out your SSDs looks like a real problem... Communication is also going to be really expensive. I'd be matching these with DDR cashing for the output, but that has problems for the data retention laws requiring dumping on to massive platters.

Unfortunately for Ampere, Intel just launched Sierra Forest at Computex. 144 cores on the mainstream, but up to 288 cores on the advanced platform. They are E-cores, but those Crestmont cores are quite performant, pretty handily beating ARM designs. And combining E-cores with the Intel 3 process, the power efficiency is class leading, beating all of Intel's existing Xeons *and AMD's* Epycs in efficiency.

I do like lots of fast cores. And I'm excited to see AMD, Intel, and Ampere all getting in on this game. Just wish these Ampere chips were made available for testing...

This is two years too late… the Ampere Altra came out very anemic and they purposefully held back the performance with an anemic power envelope. This is what Apple should have done instead they alienated everyone and killed the entire Pro industry.

These days, compute efficiency while maintaining performance is important. I can't wait to see a AmpereOne running 12 channel DDR5!

TTP in soft focus? Is this a new thing? You could go the whole hog and do sepia with a '40s film noir eye light slash - Morticia style ;-)

Oracle did some DB acceleration in SPARC cpus with DAX. So may be in case of AMPERE is something similiar

while watchinng this and you spoke about Oracle i got this notification: "AMD and Oracle The Art of Unrivaled Database Performance" 😅 Genoa-X, Siena and now Turin and Turin-Dense... at least everyone is hard at work.

Chuck Moore inventor of FORTH in 2009 did a 144 core CPU still sold by GreenArrays Inc

ARM + RISC-V is the future. Please support to the linux and will be fine.