Introducing the f2 Core – Our Fastest Core Yet!

June 15th, 2012 by Ken Elkabany

If you’ve been craving more speed, you’ll want to give our brand new f2 core a spin!

How fast?

The f2 core is rated at a whopping 5.5 compute units, which is 69% more than our previous leader, the m1 core with 3.25 compute units.

How about memory?

f2 cores have access to 3.7 GBs of RAM, which is a much-needed middle ground between the 800 MBs available in a c2 core, and the 8 GBs available in an m1 core.

How do I use it?

All you’ll need to do is set the _type keyword.

cloud.call(func, _type='f2')

How much?

At $0.22/core/hour, it’s got 120% more compute units than a c2 core, but only a 69% price premium.

Suggestions?

With our collection of five core types, there’s something for everyone! If you have ideas for another core type, or want to tell us how important a core with a GPU is to you, please leave a comment.

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6 Responses to “Introducing the f2 Core – Our Fastest Core Yet!”

  1. Ali says:

    Ken, Glad to see you guys are doing fine!
    Just some comments I had for you guys:
    1. Come up with a better way for pricing. (May be fixed pricing) You can do a case study to see how much an average user use your services and offer a fix weekly rate…because that is the problem with amazon services (The prices are confusing).
    There should be a cap on how much user can spend per day. Some how you should make sure that your users are not getting ripped off and have the incentives to come back.
    2. Give incentive to users who refer your services. (like Drop box)
    3. More collaboration with institutions and universities.

  2. Really looking forward to GPU instance types! Would love to be able to play around with GPUs on a scale that’s actually able to solve interesting problems…

  3. Really looking forward to GPU instance types! Would love to be able to play around with GPUs on a scale that’s actually able to solve interesting problems.

  4. Eric says:

    My interest in PiCloud will only manifest itself when core w/ GPU are available. CPU are great jack-of-all-trades but GPU are work-house when it comes for repetitive tasks.

  5. [...] you can take advantage of our others features. Try using a core type with more RAM, such as our f2 core, or take advantage of our new multicore [...]

  6. Curious says:

    I think your current price model of pay what you use is really good. Please don’t change that.

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