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.
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 capital expense into an operating expense.
Market Leading Hardware
Linode GPUs are NVIDIA Quadro RTX 6000 units, currently considered one of the best in market GPUs. 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 Cores (Ray Tracing)||72|
|GPU Memory||24 GB GDDR6|
|Rays Cast||10 Giga Rays / Sec|
|FP32 Performance||16.3 TFLOPS|
Particle Physics Performance Per Dollar
Dedicated + RTX6000 GPU Plans
Try Linode GPUs On Us
See If You Qualify for a 7-Day Free Trial
Please reload the page and try again.
Craft of Code:
Abby RossAbby Ross shares more of Curriki’s story. Hear how Linode supports Curriki’s mission to provide educational tools to all.
Dev MukherjeeDev Mukherjee runs Anomaly, a full application developer building everything on Linode and recommending it to customers.
Richard NelsonWhen Richard Nelson was looking for a hosting provider for a new project, Linode was an obvious choice.
Phil NelsonIn this first episode of the Craft of Code podcast's second season, we speak with Phil Nelson of RetroStrange TV and Lofi Scifi.
The University of OklahomaEmpowering The University of Oklahoma's Risk Institute to do cutting-edge work by providing cloud computing services that fits its budget.
Sheryl VillaromanLooking for a partner capable of supporting complex needs without inordinate expenses, Nephila Web decided to work with Linode.
Dr. Brian DennisData Machines relies on Linode cloud GPUs to find new and advanced machine learning algorithms.
Saurabh Kumar and Anirudh ShahBased in India, 3LOQ's Saurabh Kumar and Anirudh Shah were attracted to Linode because of its price, which was one-third that of AWS.
Leo CunhaLeo Cunha's prior relationship with Linode created "a perfect storm" to develop an open source tool as good or better than commercial products.
Arthit “Art” HongchintakulArthit “Art” Hongchintakul and his Thailand-based company, Swiftlet, can provide high-value services to its clients at a fair cost.
Linode Cloud GPUs Beat AWS For Performance, PricingAccording to a Cloud Spectator benchmarking, Linode Cloud GPUs offer the best performance in the industry, outperforming behemoths like AWS, Azure, or GCP when it comes to image manipulation workloads.
The Business Case for GPUs in the CloudOnce confined to personal computers, GPUs are essential to accelerate highly-customized apps and business workloads in the cloud.
GPU Price-Performance BenchmarkingCloud Spectator evaluated the performance of GPU-based virtual machines from AWS, Azure, GCP, and Linode.
Getting Started with Linode GPU InstancesThis guide will help you get your Linode GPU Instance up and running on a number of popular distributions.
Cloud GPUs Tutorial from sentdexAn overview of the current cloud GPU providers and a tutorial on making good use of these servers.
How to Choose a Linode PlanThis guide provides an overview of all Linode instance types and plans, their corresponding use cases, and how to choose which one is right for you.