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Google Moves From Search To Inventor

TubHarsh writes "The New York Times reports that Google continues to expand its scope from search engine to inventor. Google assembles the majority of the hardware it uses and deploys at such a large scale, that Google may be 'the world's fourth-largest maker of computer servers, after Dell, Hewlett-Packard and I.B.M.'. The article also states that Google may be entering the chip design market with new employees who were ex-Alpha Chip engineers."

11 of 131 comments (clear)

  1. Google chips? by tygerstripes · · Score: 4, Interesting

    Now that does interest me. If they can show the same level of industrious innovation that they have in other fields, I'm excited about the impact this may have on the server-market, if nothing else.

    I just hope that, if they are developing chips in-house (and if they are, I expect them to be cheap and powerful), they are less tight-fisted than they are with their other technical innovations. A new power-player in the CPU market would be great for us end-users

    Seriously though, if they start manufacturing all their own hardware from scratch, they're probably going to be more independent than any major computer-based international in recent history. *exaggeration ends*

    --
    Meta will eat itself
    1. Re:Google chips? by Jasin+Natael · · Score: 5, Interesting

      Hmm... I'd kind of like to buy a RAID card that is accelerated for database and/or search work. I mean, issue high-level commands to the controller hardware, and let it collect the results while the main processor is doing something else. We're getting to the point where classical RDBMS systems are pretty well-understood, and the average RAID controller has a fair bit of hardware already. How far are we from having some relatively simple processor with an inflated L1 cache and high clock rate that does the heavy database work (including RAID/transaction logging) before it even reaches your machine?

      It makes sense to do this, because database performance is big business -- just look at what some companies spend on licensing Oracle! As long as you're not worried about spatial queries, you could probably even get by without an FPU. There might be a lot of justification for this.

      --
      True science means that when you re-evaluate the evidence, you re-evaluate your faith.
    2. Re:Google chips? by cowbutt · · Score: 2, Interesting
      I'd kind of like to buy a RAID card that is accelerated for database and/or search work. I mean, issue high-level commands to the controller hardware, and let it collect the results while the main processor is doing something else.

      This was my degree supervisor's main research interest. Searching for 'Intelligent File Store' in conjunction with 'Essex' and 'Lavington' should find lots of juicy info.

  2. This kind of thing that keeps us loving google by chrisrx · · Score: 2, Interesting

    I think google is just an amazing company, they hire some of the worlds top developers, build their own servers and apparently their own cpus now just to make sure that everything runs smoothly. Couple that with froogle, google maps and google earth, summer of code and submission of code back to open source projects such as wine. It's a shame that there aren't more companies like google that do everything they can to put their customers first and their profits later.

  3. Re:Technology Incubator by l3v1 · · Score: 3, Interesting

    I think they're just throwing stuff at the wall and seeing what sticks, much like VCs do. But their doing it all in-house, hoping to come up with the next big thing. And the thing after that.

    Well, if you want to innovate, or research, you have to do that. VCs don't do that, they just hope that the pack of people they give money won't just waste that money but actually come up with an idea that sticks to that wall. In-house research is not comparable with what VCs do with startups which usually base their entire future on one idea and if that fails, they fail. In research every idea that you prove is a failure is in fact a success since it gives you valueable knowledge and experience which you can use in the next trials if you have the money for it, and well, they have the money.

    --
    I am putting myself to the fullest possible use, which is all I can think that any conscious entity can ever hope to do.
  4. Secretive? by kripkenstein · · Score: 3, Interesting

    They are indeed very secretive about their technology

    Yes, so I thought. And indeed the article says, "Google is notoriously secretive about its technology", "Google will not comment on its costs". Yet Bill Gates is quoted as saying "Google doesn't have anything magic here. We spend a little bit more per machine. But to do the same tasks, we have less machines.".

    A web search doesn't turn up the reference for that quote (and the article doesn't link to it), so it's hard to know the context. But still, it does seem odd. How can Gates know such details, which are supposedly secret? I don't know whether to doubt the truth of his claim, or to wonder about how he could have found it out.

  5. Re:Boycott Google ;-) by killjoe · · Score: 2, Interesting

    well seeing as how the republican bloggers are calling for the hunting down of the NY times reporters kids I'd say that it's pretty easy to get confuse shelley with a real republican. In many ways shelleytherepublican seems like a moderate republican when you read coulter, hannity, newsmax, free republic etc. At least I haven't herd her call for the hunting down of peoples kids.

    --
    evil is as evil does
  6. You're forgetting one Manufacturer by hcob$ · · Score: 4, Interesting
    Google may be 'the world's fourth-largest maker of computer servers, after Dell, Hewlett-Packard and I.B.M.'.
    You're forgetting one Manufacturer: the NSA.
    --
    Cliff Claven
    K.E.G. Party Chairman
    Founding Leader of: Koncerned for Egalitarin Governance
  7. Can Google invent AI? by Anonymous Coward · · Score: 4, Interesting

    Can Google become an artificial intelligence?
    Google certainly has the data to whet the appetite of an AI Mind, but first Google would need an AI Engine such as Mind.Forth to impose order on the data, so that Google would not just store the data but would know the web of data.
    Maybe Google will trigger a Technological Singularity.

  8. Re:Silicon? Yes. CPUs? Maybe. by CastrTroy · · Score: 3, Interesting

    But then just how many specialized chips does one need? With personal computers it's getting a little out of hand. First we have graphics processors, and now physics processors. Oh, and we also have network cards that allow you to offload the entire TCP/IP stack to their own processors. Oh, and sound cards have hardware mixers, so you don't have to mix the sound in software on your general purpose CPU. Oh, and those video capture cards convert everything to mpeg in hardware, so you don't need your CPU for that either. All I need is a special processor for compiling code, and I could go right back to using a 486 as my main processor, since it wouldn't have anything to do anymore.

    --

    Anthropic principle: We see the universe the way it is because if it were different we would not be here to see it.
  9. GPU = Google Processing Unit by j.leidner · · Score: 2, Interesting
    If Google indeed decides to get involved in hardware (or software that gets compiled into hardware), I welcome the decision, and joyfully look forward to any innovations that they might come up with.

    Maybe one day we have a GPU (Google Processing Uni) inside our PCs that has special hardware support for indexing, retrieval and text processing in general. Independently of Google or any particular vendor, the theoretical question that intrigues me is: what operations would you like to have built in to aid the search business?

    PageRank in microcode? Porter stemmer as an assembler instruction?

    For several decades, CPU design has been driven mostly by traditional numerical concerns. While ranking algorithms certainly are based on numerical principles as well, it remains to be investigated whether there are operations that are worth providing at hardware level, or (more likely) completely new architectures.

    Note that their MapReduce paradigm of parallel data processing is close to data flow machines in some sense, and while these were not a success at the time, times have changed (it's always a question of boundary conditions).