Nvidia Reveals Latest H200 AI Chip (Watch It Here)
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- Опубликовано: 12 ноя 2023
- During a special address, chipmaker Nvidia unveils the H200, its latest AI chip to assist with generative AI tasks.
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So they are using their own AI architecture to engineer their next generation AI hardware.. Sounds like a Hollywood movie
So, under 10 years the average gamer will have GPU's that create real time Game creation environments. Today 40% of the planet actively plays video games. sounds like someone is going to make a ton of money.
I like how Nvidia is just laying the smack down without even saying it. B100 just quietly flexing in the shadows
B100 is going to bring us to GPT 5
i'm in tech 20y+, i never saw such advancements as in the last 2 years.
Totally understand everything he said 🤣
Unrivaled, amazingly speedy innovation. Love Nvidia!
Fanboy
@@milo1721I mean it’s true 😂 Intel and AMD are nowhere close to NVDA’s capabilities
Its not unrivaled for certain inference loads requiring more memory and bandwidth MI300x can challenge. H200 changes the memory technology from H100 while also enabling the sixth stack of previously disabled HBM while also increasing memory density. This means that aggregate full device capacity moves from a previous maximum of 80 GBs to 144 GBs, 141 GB of which are addressable by applications. Bandwidth comes in at a massive 4.8 TB/s, a 40+% increase over H100’s 3.35TB/s. By comparison, AMD’s MI300X has 192 GB of HBM3 memory for 5.2 TB/sec bandwidth, although we’ll hear more about that later this year at the December 6th AMD event.
Why are they using GPT3? Only the latest model matters... Likely just to make the improvement leaps look larger than they really are.
Performance leaps matter for GPT4, GPT5 or Gemini. And l am guessing the compute needed here is either keeping pace with improvements, or outstripping it
Unbelievable! Incredible
Singularity incoming
4:43 Nvidia when it sells tpus to Nvidia: money doesn't feel real anymore.
When are standard servers going to get similar upgrades or alternative not everyone can rent a super computer........ They might need a whole different application to even utilize things with all this power now like just delivering band width even if ai was used to compress it something need to be made to host server even from home on pcs or on server racks...
Slap an Nvidia v100 in your computer at home.
That’s why we use cloud
i meant like when are they going to put these in gamer servers for minecraft lol@@Ilovecruise
just double every 6 months, the new Moore's law lol
*Interesting, love it*
game changer, can't wait
If Nvidia can 3d stacked the H200 chips and ask IBM if they could make there chip have Optical circuits it could be 180 times faster ?
Does it hurt the AI?
HBM memory = high bandwidth memory memory?!
Guys, have we stopped asking, if it can run Doom?
Important
It can simulate 10 million AI doom playing bots and then also emulate their 10 million instances of doom
Was very disappointed for this not being addressed at all... let alone Crysis 3
No 4k
Skynet Genesis
Download 98% complete...
In real life
But can it run Crysis 3 at 8k 999Fps?
Nope.
not until when they compare x86 to arm based
I for one welcome our new AI overlords 👋
This guy sounds like Erlich Bachman from silicon valley hahahahaha
I thought he sounded like an AI Jensen for a bit.
Sam Altman like 🤩
Nvidia rules
I’m not comfortable about them monetising Grace Hopper’s name
Our password will be cracked in no time
awesome but!!, can it play crysis?
Yes
@@SW-fh7he no its not eventually
It can play a virtual _you_ playing Crysis.
Nvidia stock BANG!
4:10 when u compare a gpu directly to a cpu and the performance is less than 200x for optimized tasks its just embarrassing. Why even compare the gh200 to a xeon. Everyone can see the comparison is janky
Nvidia for life 🧬 for love 💞 for hope 🌺 for future 🤗 keep up keep going for the great 👍
Bro
Creepy
wow
None of this matters when it's only available for the top 1-2% of the population.
Nvidia controlling the market demand by cutting supply to increase prices for the goal of making more profit.
I watched all summer the 4090 available on nvidia's website, the moment news was announced about sanctions "out of stock"
Then during the week day it was back in stock then right as soon as Halloween passed "out of stock"
normal \ average western people have not seen a stable supply since TU104 12nm (aka RTX 2080 or Turing)
nvidia's new slogan should be "Nvidia - always out of stock"
At this point it's obvious Nvidia no longer wants to deal with "peasants" as we are now in the PC gaming world.
They want top end GPU's no lower than $2000-$2500 USD mid $1000-$1500 and lower $500+
People making less than $100k per/year will struggle to justify $1000 for a GPU let alone $2000+
Supply and demand.
4090 is just the start do u understand what they create for top companies
AMD MI300 Instinct still isn't out yet 😅 Its going to take a long time for someone to check NVIDIAs power. They are relentless. Was this new beast even needed.
Yes, because MI300X will be 192GB and Nvidia needs something to fill the gap until B100.
Nvidia is that company that simply knows what technology to invest in for the future. They should get in on quantum computing tho.
“When IBM comes in [a market segment], we run away” ~Jensen Huang (paraphrased, in a recent interview speaking about going against the ARC GPU). He knows where his company can compete, and where they can’t. IBM has been putting metric shittons of money into QC for years.
@@raffriff42 IBM is a silent giant.
H200 is somewhat disappointing. It only has 141G of HBM3. AMD’s MI300X has 192G of HBM3. Big LLM needs a lot of VRAM. MSFT, Meta, & Amazon will buy the MI300X.
_Nvidia GH200 has entered the chat._
he has the voice of a young adult wow
Most y’all watching this would even know how to start using one of these bad boys….unlike me 😎
Brah you da hecticest gigabitea
Wouldn't*
😊
Not good
Taiwan has leveraged unfair policies, including low-cost labor, land subsidies, tax incentives, low electricity and water prices, and a favorable interest rate environment. Additionally, it has benefited from institutional advantages such as low-cost universal education. Seizing the opportunity presented by the semiconductor industry's shift after the US-Japan semiconductor war in the 1980s, Taiwan has vigorously developed the semiconductor manufacturing and chip design industries. Currently, due to the advantages of unfair policies, many semiconductor companies in Taiwan have grown to the extent that they can compete with leading US companies. For example, MediaTek surpassed Qualcomm to become the world's top mobile chip processor company. This success is not solely attributed to MediaTek's capabilities but stems from the unfair competitive advantage.
Given this situation, the United States cannot tolerate the continuation of such circumstances. It is time to counteract and dismantle Taiwan's semiconductor industry, including companies like TSMC and MediaTek.
“It has benefited from institutional advantages such as low-cost universal education.” Oh, the horror!!
Lol