Latency Under Load: HBM2 vs. GDDR6
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- čas přidán 25. 06. 2024
- Steven Woo, Rambus fellow and distinguished inventor, explains to Semiconductor Engineering why data traffic and bandwidth are critical to choosing the type of DRAM, options for improving traffic flow in different memory types, and how this works with multiple memory types.
- Věda a technologie
waiting to see how this effects the macbook pro's AMD 5600M with HBM2 and comparing it anecdotally to other laptops with GDDR6 based 5600Ms
Thanks for another great video, and Woo for his great overview.
Awesome video. I've given it a retweet! :)
Excellent explanation and presentation, thank you for sharing this video!
I completely agree that with Moore's law dying we need to make high bandwidth memory a centerpiece of the chip development and that industry should strive for the ONE SINGLE unified non volatile memory of the future with SRAM-like speed and latency with DDR-like capacity, which will be also cost effective and available - I know it sounds like fantasy, but this is where industry should be heading in my opinion.
So at what point do you really compare HBM and GDDR? All you're saying is to make sure you have enough bandwidth so your transfers don't get stalled.
Check out this one for the tradeoffs of GDDR6 - HBM2 semiengineering.com/gddr6-hbm2-tradeoffs/
I think Hatbuster is the "same" as me; a consumer.
Mr.Woo's explanation as to where the benefits of HBM2 and GDDR6 lie were pretty precise and easy to understand in my mind...but most things have long answers so i'd like to reconcile(condensed) as "semiConEng" is not my field of study: HMB2 is the "better" memory for performance(under load->4kGaming) etc. but it comes at a "high" cost and presentes challenges for the people designing it and/or the system into wich it is supposed to be integrated(Graphics cards).The materials have to be paid for and the people working have to be paid (HBM is time consuming) and the "end" consumer likes low prices but high performance. Bascially the people "leading" a company have to make a tough wager trying to keep the balance between cost and efficiency? "Zeit ist Geld und umgekehrt gilt dasselbe; Geld ist auch Zeit." Time is Money and contrariwise; Money is also Time.
In very broad-terms, is this correct?
Very Good video and nice Teamwork!
I liked the analogy.But that depends on whether I am right thinking I understood it correctly
Wont be waiting for an answer, very interesting videos -> going to start at the beginning of the series.
I think a short answer would be apporpriate but no gurantee that I'm right: HMB2 is better but sometimes not better enough to be worth the money and time.
Suppose you've got two cards that are the same price n' all the specs are the same, and the only difference is that one has HMB2 and the other has GDDR6 -> get the one with the HMB2.
?
Is there any well known benchmark which requires that much bandwidth? You mentioned A.I. and Graphics works as "bandwidth hungry" workloads, and I wonder if there is any benchmarks that I can test.
Subbed
Hello! what kinde of screen board is this?
I believe it was a Microsoft interactive electronic board
Very nice explanation!
Waiting for Ryzen next gen and Navi?
@@Supremax67 yes!!!!
0:15 I understand that people want the best and the fastest memory that is available, but who the hell wants the most expensive ? I wonder.
kitmanevo lol super expensive
its implicit unless its a scam that the best WILL BE the most pricy.
simply watching benchmarks, i prefer gddr6 over hbm. furyx and vega were not boosted enough by hbm.
Basically you made an entire video on a concept but at the very end is when you say "Yeah HBM is good and efficient cuz it has more bandwidth but its more expensive, while GDDR 6 is also good because it still has big bandwidth but it also less than HMB2 and less expensive". Did we really learn anything?
Yeah, we needed real numbers to really get anything from this.
Inb4 AdoredTV and r/AMD xd
I came from r/AyyMD
Not applicable to LA traffic