GPU high-performance cloud computing

Best price-performance on-demand GPUs from the cloud experts at Linode. Ideal for parallel processing workloads such as machine learning, scientific computing, and video processing.




Global Markets




Years Before AWS




Scientists, artists, and engineers need access to significant parallel computational power. Linode offers GPU-optimized virtual machines accelerated by the NVIDIA Quadro RTX 6000, harnessing the power of CUDA, Tensor, and RT cores to execute complex processing, deep learning, and ray tracing workloads.


On-demand GPU

Between purchasing, installing, and maintaining GPUs, the cost of ownership is often high. Linode GPUs allow you to leverage the power of GPUs while benefiting from the main value proposition of cloud: turning a CapEx into an OpEx.


Market Leading Hardware

Linode GPUs are NVIDIA Quadro RTX 6000 units, currently considered one of the best in market. With CUDA, Tensor, and RT cores in each unit, these GPUs support any use cases associated with parallel processing, deep learning, or ray tracing.


Simplifying Complex Use Cases

You focus on your core competencies, we’ll worry about the hardware that makes them possible. Linode GPUs remove the barrier of entry for complex use cases such as machine learning, AI, and video streaming.


Multiple Plan Types

One GPU card isn’t enough for your projected workloads? Not a problem. Linode GPU plans offer up to four cards per instance, depending on how much horsepower you need.


Quadro RTX 6000 Specs

CUDA Cores (Parallel-Processing) 4,608
Tensor Cores (Machine & Deep Learning) 576
RT Cored (Ray Tracing) 72
GPU Memory 24 GB GDDR6
Rays Cast 10 Giga Rays / Sec
FP32 Performance 16.3 TFLOPS

Use Cases

Machine Learning

Leverage powerful open source software such as TensorFlow to get started with machine learning. Deep learning and AI workloads are also supported.

Video Processing

4K / 8K high-definition live streaming, video rendering, media encoding, and other graphics-related use cases are supported in a few easy steps.

High Performance Computing (HPC)

Compute and data intensive workloads for industries such as life sciences, media, and more are possible with GPU instances.

Select the Dedicated + RTX6000 GPU plan for your most-specialized workloads

Same perfomance, half the price

Linode GPU 8 Cores Dedicated 32 GB RAM 640 GB SSD $1000 / mo ($1.5 / hr)
AWS GPU 8 Cores p3.2xlarge 61 GB RAM 640 GB SSD $2,297.80 / mo. 134% more
Google GPU 8 Cores n1-custom-8-32768 32 GB RAM 640 GB SSD $1,584.40 / mo. 58% more

AWS and Google prices are based on Dec'19 compute instances in US Eastern data centers configured with the nearest RAM and SSD, not including additional cost of transfer bandwidth.

"You can’t beat Linode for price, performance and reliability. Love them!"

Web Developer

Get started today!

Frequently Asked Questions

How do I sign up for the free trial?

Create a new Linode account by entering your email address, username, and password in the form at the top of the page or by clicking on the “Start Free Trial” button.  To complete your account setup, you will need to input a valid credit card.  A credit card is required to validate your identity, but we will not charge your card during your free trial.

Do I qualify for a free trial?

Only new customers who have never been a paying customer of Linode and have not previously signed up for a free trial can qualify.

What can I do with my free trial?

Once you complete the sign-up process and agree to the Terms of Service, you can use your $100 USD services credit towards any of Linode’s Compute plans, Object Storage, Block Storage, or NodeBalancers offerings within the first 60 days.  If you exceed the $100 USD credit within the 60-day period, the overage will be charged at standard rates as outlined on our Pricing page.

What happens after my trial period ends?

You must spend your service credits during the trial period with Linode.  Unused service credits will automatically expire, and we will charge you our standard rates for any service over $100 USD.  For more information on our prices, visit our Pricing page.