GPU compute for AI, machine learning and more
On-demand GPUs for parallel processing workloads such as machine learning, scientific computing, and video processing.
GPU
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 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 |
| RTX-OPS | 84T |
| Rays Cast | 10 Giga Rays / Sec |
| FP32 Performance | 16.3 TFLOPS |
Leading Price-Performance
GPU Benchmarking: Independent benchmarking firm, Cloud Spectator, found Linode GPU’s deliver the best performance per dollar when compared to AWS, Azure, and GCP.
Particle Physics Performance Per Dollar
Also recommended: Infographic: The Business Case for GPUs in the Cloud
Dedicated + RTX6000 GPU Plans
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The Linode Compute Family
Match your application use case with the right compute resource.
Shared CPU Cores
Related Content
Craft of Code:
Customer Stories
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Dev Mukherjee
Dev Mukherjee runs Anomaly, a full application developer building everything on Linode and recommending it to customers. -
Richard Nelson
When Richard Nelson was looking for a hosting provider for a new project, Linode was an obvious choice. -
Phil Nelson
In 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 Oklahoma
Empowering The University of Oklahoma's Risk Institute to do cutting-edge work by providing cloud computing services that fits its budget. -
Sheryl Villaroman
Looking for a partner capable of supporting complex needs without inordinate expenses, Nephila Web decided to work with Linode. -
Dr. Brian Dennis
Data Machines relies on Linode cloud GPUs to find new and advanced machine learning algorithms. -
Saurabh Kumar and Anirudh Shah
Based 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 Cunha
Leo 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” Hongchintakul
Arthit “Art” Hongchintakul and his Thailand-based company, Swiftlet, can provide high-value services to its clients at a fair cost. -
Vendoti
Vendoti offers video streaming to influencers and distributors. The decision to work with Linode was "a fundamental shift, at a great price."
Content Resources
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Linode Cloud GPUs Beat AWS For Performance, Pricing
According 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 Cloud
Once confined to personal computers, GPUs are essential to accelerate highly-customized apps and business workloads in the cloud. -
GPU Price-Performance Benchmarking
Cloud Spectator evaluated the performance of GPU-based virtual machines from AWS, Azure, GCP, and Linode.
Guides
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Getting Started with Linode GPU Instances
This guide will help you get your Linode GPU Instance up and running on a number of popular distributions. -
Cloud GPUs Tutorial from sentdex
An overview of the current cloud GPU providers and a tutorial on making good use of these servers. -
How to Choose a Linode Plan
This 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.
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