Introducing Linode GPU Instances


We are excited to announce the pilot launch of Linode GPU instances. These instances are tailored towards workloads such as machine learning, artificial intelligence, high quality graphics rendering, video transcoding and scientific computing.

Linode GPU instances are built on NVIDIA Quadro RTX 6000 GPU cards. This is the first time these cards are being offered by a cloud provider, and includes all three major types of processing cores (CUDA, Tensor, and Ray Tracing). It’s the next step in cloud computing for Linode, and advances our mission of making cloud computing simple and accessible to everyone.

All Linode GPU instances come with dedicated CPU cores and your choice of one to four cards per instance.

We’re rolling this out initially as a pilot. There’s limited availability (these things are expensive!) and it’s only available in Newark for now. But most importantly, we want you to help shape our next steps. So, please take a look at what we have, maybe give it shot, and let us know what you think or what your needs are by sending us an email or by opening a ticket.

Ready to start crunching numbers? Check out our GPU Getting Started guide.

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Comments (4)

  1. John

    Only costs $760/month for a GPU… AKA 1/5th of the GPU’s purchase price.

  2. Andy Heathershaw

    I’m intrigued by all this GPU stuff, and this is a genuine question.

    For $1000 a month I could get 2x 32 dedicated CPU cores and 64GB RAM Linodes – I.e. 64 cores and 128GB RAM for $960.

    That seems like an insane amount of power. What makes a GPU so special that a normal (high spec) CPU can’t do?

    • Ben Bigger

      Andy: Great question. GPU processors excel at handling tasks that require parallel processing, especially when compared to CPUs, which are optimized for serial processing. This means that GPU instances are a good fit for use cases such as machine learning, video processing, and data science workloads.

  3. Russell

    Looks like y’alls marketing department got to your spec sheet before you could publish it.

    40Gbps network in
    10000Mbps network out

    Why not just say 10Gbps network out so that it has the same format as the line directly above it? A bigger number looks better right? 😉

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