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AMD's Latest Server Compute GPU Packs In 32GB of Memory

Deathspawner writes: Following-up on the release of 12GB and 16GB FirePro compute cards last fall, AMD has just announced a brand-new top-end: the 32GB FirePro S9170. Targeted at DGEMM computation, the S9170 sets a new record for GPU memory on a single card, and does so without a dual-GPU design. Architecturally, the S9170 is similar to the S9150, but is clocked a bit faster, and is set to cost about the same as well, at between $3,000~$4,000. While AMD's recent desktop Radeon launch might have left a bit to be desired, the company has proven with its S9170 that it's still able to push boundaries.

8 of 46 comments (clear)

  1. Finally by blackt0wer · · Score: 3, Funny

    This will cut my rendering time of Hentai down dramatically.

  2. First 3x Posts are Retarded by Anonymous Coward · · Score: 2, Funny

    1) You're old... We get it!
    2) 2013 called, they want their fad back
    3) "Render" Hentai? Unless you count encoding DVD rips in some lossy codec to be "rendering": it really won't. Do you have some fucked up 3D animation hentai running on OpenGL or DirectX?

  3. Re:Viva la beta! by jellomizer · · Score: 2

    640kili-Terabytes should be good. That way we can buffer over a full year of 8k video.

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    If something is so important that you feel the need to post it on the internet... It probably isn't that important.
  4. DGEMM-Double precision GEneral Matrix Multiplicatn by Wargames · · Score: 3, Informative
    DGEMM:

    D = Double precision (as opposed to S = Single precision, C - Complex single precision, or Z - Complex Double precision)

    GE = GEneral, as opposed to HErmetian for example.

    M = Matrix

    M = Multiplication

    --
    -- Each tock of the Planck clock is a new world and here we are still life. --
  5. Re:What are these used for? by AqD · · Score: 3

    These are just huge waste of money. You can use the same money to buy several of gaming cards - each of them is way faster than workstation card for many types of operations. Also since GPU computation is highly parallel it makes no point to have one super card instead of many cheap cards combined together.

  6. Re:DGEMM without ECC? by Anonymous Coward · · Score: 2, Informative

    Like every other Hawaii based professional card, it does.

  7. Re:What are these used for? by chuckymonkey · · Score: 3, Interesting

    Not necessarily, in scientific computing cards like this are important. The biggest problem with GPU computing in general is the time it takes to copy from main memory to GPU memory and back. It really makes GPU difficult to work with and generally the gains in parallelization don't really pay off considering the amount of time it takes to make those memory copies. Being able to load more into memory and have it stay there is a big deal.

    --
    "Some books contain the machinery required to create and sustain universes."-Tycho
  8. Re:So what happened to the comments lately? by 0100010001010011 · · Score: 2

    Rather than improving the site and taking on refugees from Reddit they decided to double down on terrible design and appeal to the worst of them.

    It's like Italy deciding to turn away all the moderates and only deciding to accept

    Meanwhile those of us that have been around Slashdot since 2000 have pretty much thrown our hands up.

    I wish I had enough knowledge and freetime to rewrite INN with moderation. Usenet 2.0. It seems that the Eternal September has hit the web.