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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.

Image shows hourly and monthly pricing, and lists specifications, for the four tiers of GPU plan. The image is linked to the pricing page where more detailed information can be found.

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 at or by opening a ticket.

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

Comments (9)

  1. Author Photo

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

  2. Author Photo

    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?

    • Author Photo

      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. Author Photo

    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? 😉

  4. Author Photo

    How many gpu gb is offered in $4000 plan? Is it same 24gb gpu in $1000 plan?

    • pwoods

      Hi Niang! The 128GB plan is priced at $4000, which includes 24 CPU cores. Pricing and specs for our GPU plans are located at the bottom of the GPU page of our website. There you will find the specs for all of our GPU plans. Let us know if you have more questions.

      • Author Photo

        Hello is that mean I can only have GPU Memory of 24 GB GDDR6 on $4000 plan? same as $1000 plan?

        • jdutton

          Hey Niang – the $1000/month plan includes 32 GB system RAM and 8 CPU cores, whereas the $4000/month plan includes 128 GB system RAM and 24 CPU cores. As for the GPU RAM, there are 24 GB RAM per GDDR6 GPU card, and each plan upgrade adds a card as you increase specs. This means that the $1000 plan has one GPU card with 24 GB RAM, and the $4000 plan has four GPU cards with 96 GB RAM. Hope that clears things up!

  5. Author Photo

    Hey I can just start crypto mining with this service, right?

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