Nvidia Reveals Latest H200 AI Chip (Watch It Here)

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  • čas přidán 12. 11. 2023
  • During a special address, chipmaker Nvidia unveils the H200, its latest AI chip to assist with generative AI tasks.
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  • Věda a technologie

Komentáře • 73

  • @CPU-01
    @CPU-01 Před 5 měsíci +54

    So they are using their own AI architecture to engineer their next generation AI hardware.. Sounds like a Hollywood movie

    • @videocruzer
      @videocruzer Před 5 měsíci +3

      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.

  • @chrisrogers1092
    @chrisrogers1092 Před 6 měsíci +43

    I like how Nvidia is just laying the smack down without even saying it. B100 just quietly flexing in the shadows

    • @Jay-eb7ik
      @Jay-eb7ik Před 5 měsíci +1

      B100 is going to bring us to GPT 5

  • @rockochamp
    @rockochamp Před 5 měsíci +13

    i'm in tech 20y+, i never saw such advancements as in the last 2 years.

  • @Custodian123
    @Custodian123 Před 5 měsíci +12

    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

  • @carolinexu-qk5hi
    @carolinexu-qk5hi Před 6 měsíci +20

    Unrivaled, amazingly speedy innovation. Love Nvidia!

    • @milo1721
      @milo1721 Před 5 měsíci +1

      Fanboy

    • @TurboFrieza
      @TurboFrieza Před 5 měsíci +1

      @@milo1721I mean it’s true 😂 Intel and AMD are nowhere close to NVDA’s capabilities

    • @nexus2999
      @nexus2999 Před 5 měsíci

      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.

  • @natebaird
    @natebaird Před 5 měsíci +12

    Totally understand everything he said 🤣

  • @minhhoquang9695
    @minhhoquang9695 Před 5 měsíci +2

    Unbelievable! Incredible

  • @GameHEADtime
    @GameHEADtime Před 6 měsíci +1

    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...

    • @sharkylal
      @sharkylal Před 5 měsíci +1

      Slap an Nvidia v100 in your computer at home.

    • @Ilovecruise
      @Ilovecruise Před 5 měsíci

      That’s why we use cloud

    • @GameHEADtime
      @GameHEADtime Před 5 měsíci

      i meant like when are they going to put these in gamer servers for minecraft lol@@Ilovecruise

  • @AngeloXification
    @AngeloXification Před 5 měsíci +4

    Singularity incoming

  • @darkashes9953
    @darkashes9953 Před 4 měsíci

    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 ?

  • @bogdanivchenko3723
    @bogdanivchenko3723 Před 5 měsíci +1

    4:43 Nvidia when it sells tpus to Nvidia: money doesn't feel real anymore.

  • @simonosterloh1800
    @simonosterloh1800 Před 6 měsíci +6

    Guys, have we stopped asking, if it can run Doom?

    • @garrettk7166
      @garrettk7166 Před 5 měsíci +1

      Important

    • @CedarGroveOrganicFarm
      @CedarGroveOrganicFarm Před 5 měsíci +3

      It can simulate 10 million AI doom playing bots and then also emulate their 10 million instances of doom

    • @Vestu
      @Vestu Před 5 měsíci +1

      Was very disappointed for this not being addressed at all... let alone Crysis 3

  • @naranyala_dev
    @naranyala_dev Před 5 měsíci +1

    game changer, can't wait

  • @ICQ200
    @ICQ200 Před 5 měsíci +1

    *Interesting, love it*

  • @LeicaM11
    @LeicaM11 Před 5 měsíci +1

    HBM memory = high bandwidth memory memory?!

  • @AIRRAZOR44
    @AIRRAZOR44 Před 5 měsíci

    Does it hurt the AI?

  • @Modioman69
    @Modioman69 Před 6 měsíci +5

    But can it run Crysis 3 at 8k 999Fps?

    • @Vestu
      @Vestu Před 5 měsíci

      Nope.

  • @JazevoAudiosurf
    @JazevoAudiosurf Před 5 měsíci +2

    just double every 6 months, the new Moore's law lol

  • @Pasha8204
    @Pasha8204 Před 3 měsíci +1

    No 4k

  • @oscarswazi6412
    @oscarswazi6412 Před 5 měsíci

    not until when they compare x86 to arm based

  • @wolfk.l.5582
    @wolfk.l.5582 Před 5 měsíci

    This guy sounds like Erlich Bachman from silicon valley hahahahaha

    • @FredPauling
      @FredPauling Před 5 měsíci

      I thought he sounded like an AI Jensen for a bit.

  • @Pasha8204
    @Pasha8204 Před měsícem +1

    Skynet Genesis
    Download 98% complete...
    In real life

  • @PunmasterSTP
    @PunmasterSTP Před 2 měsíci +1

    I for one welcome our new AI overlords 👋

  • @sharkylal
    @sharkylal Před 5 měsíci

    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

  • @medamine3142
    @medamine3142 Před 6 měsíci +2

    awesome but!!, can it play crysis?

    • @SW-fh7he
      @SW-fh7he Před 5 měsíci

      Yes

    • @medamine3142
      @medamine3142 Před 5 měsíci

      @@SW-fh7he no its not eventually

    • @raffriff42
      @raffriff42 Před 5 měsíci

      It can play a virtual _you_ playing Crysis.

  • @OpenAITutor
    @OpenAITutor Před 6 měsíci +1

    Nvidia rules

  • @petergoodall6258
    @petergoodall6258 Před 5 měsíci

    I’m not comfortable about them monetising Grace Hopper’s name

  • @kindnuguz
    @kindnuguz Před 5 měsíci +2

    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+

    • @apophisxo4480
      @apophisxo4480 Před 5 měsíci

      Supply and demand.

    • @rabbipablo3498
      @rabbipablo3498 Před 4 měsíci +1

      4090 is just the start do u understand what they create for top companies

  • @CryptoCaster
    @CryptoCaster Před 5 měsíci

    Sam Altman like 🤩

  • @STAY_INVESTED
    @STAY_INVESTED Před 5 měsíci +2

    Our password will be cracked in no time

  • @tringuyen7519
    @tringuyen7519 Před 5 měsíci +3

    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.

    • @milandean
      @milandean Před 5 měsíci +1

      _Nvidia GH200 has entered the chat._

  • @mikelay5360
    @mikelay5360 Před 6 měsíci +5

    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.

    • @ben_spiller
      @ben_spiller Před 5 měsíci +2

      Yes, because MI300X will be 192GB and Nvidia needs something to fill the gap until B100.

  • @mertkaracayil
    @mertkaracayil Před 5 měsíci

    Nvidia stock BANG!

  • @SultanAhmed-xn1wb
    @SultanAhmed-xn1wb Před 6 měsíci +1

    Nvidia for life 🧬 for love 💞 for hope 🌺 for future 🤗 keep up keep going for the great 👍

  • @benceze
    @benceze Před 5 měsíci +3

    Nvidia is that company that simply knows what technology to invest in for the future. They should get in on quantum computing tho.

    • @raffriff42
      @raffriff42 Před 5 měsíci +4

      “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.

    • @benceze
      @benceze Před 5 měsíci +3

      @@raffriff42 IBM is a silent giant.

  • @DominicI1
    @DominicI1 Před 6 měsíci

    wow

  • @f00kwhiteblackracismwarsh07
    @f00kwhiteblackracismwarsh07 Před 5 měsíci

    he has the voice of a young adult wow

  • @djtomoy
    @djtomoy Před 6 měsíci +1

    Most y’all watching this would even know how to start using one of these bad boys….unlike me 😎

  • @shinkurt
    @shinkurt Před 5 měsíci

    Not good

  • @user-eb6xb7ol5t
    @user-eb6xb7ol5t Před 2 dny

    他們一再炸台灣害台灣土地一直在晃動,餘震不斷,還一直放催淚瓦斯很過份,從來不知他們要做甚麼

  • @user-vo3zy6bj1z
    @user-vo3zy6bj1z Před 5 měsíci

    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.

    • @raffriff42
      @raffriff42 Před 5 měsíci +8

      “It has benefited from institutional advantages such as low-cost universal education.” Oh, the horror!!

    • @craighutchinson6856
      @craighutchinson6856 Před 4 měsíci

      Lol

    • @PriyansuBhagabati
      @PriyansuBhagabati Před 8 dny

      Or just admit Taiwan doing better than US