GPU compute for media and gaming
On-demand GPUs for compute-intensive workloads including media transcoding and machine learning. NVIDIA RTX 4000 Ada generation cards now available in core regions across North America, Europe, and Asia.
GPU compute for
media and gaming
On-demand GPUs for compute-intensive workloads including media transcoding and machine learning. NVIDIA RTX 4000 Ada generation cards now available in beta.
GPU Instances
Engineers, scientists, and artists need access to parallel computational power to power applications and workloads beyond the capabilities of CPU. Offering GPU-optimized virtual machines accelerated by market-leading NVIDIA GPUs, access the power of CUDA, Tensor, and RT cores to execute complex processing, deep learning, and media workloads.
New! NVIDIA RTX 4000 Ada Generation
A price-performance powerhouse for media transcoding, powered by 6,144 CUDA parallel processing cores, 2x dedicated encode and decode engines, and AV1 encode and decode support. Now available in North America, Europe, and Asia.
NVIDIA Quadro RTX 6000
Balanced price-performance for machine learning, data analytics, and gaming harnessing the power of CUDA, Tensor, and RT cores. Currently available in limited core compute regions. Contact our sales team to get started.
On-demand GPU
Between purchasing, installing, and maintaining GPUs, the cost of ownership is often high. Leverage the power of GPUs while benefiting from the main value proposition of cloud: turning a capital expense into an operating expense.
Global Availability
Our cloud GPUs are available in core compute regions across the world, with more locations coming soon. Sign up to be notified when GPUs are available in your preferred region.
Simplifying Complex Use Cases
You focus on your core competencies, we’ll worry about the hardware that makes them possible. Cloud 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. GPU plans offer up to four cards per instance, depending on how much horsepower you need.
Quadro RTX 6000 Plan Specifications
Cloud GPU Overview
Dedicated + RTX6000 GPU Plans
- Slider
- Grid
| RAM | CPUs | SSD Storage | GPU Cards | Transfer | Network In | Network Out | Monthly | Hourly | |
|---|---|---|---|---|---|---|---|---|---|
| 32 GB | 8 | 640 GB | 1 | 16 TB | 40 Gbps | 10 Gbps | $1,000 | $1.50 | Sign Up |
| 64 GB | 16 | 1280 GB | 2 | 20 TB | 40 Gbps | 10 Gbps | $2,000 | $3.00 | Sign Up |
| 96 GB | 20 | 1920 GB | 3 | 20 TB | 40 Gbps | 10 Gbps | $3,000 | $4.50 | Sign Up |
| 128 GB | 24 | 2560 GB | 4 | 20 TB | 40 Gbps | 10 Gbps | $4,000 | $6.00 | Sign Up |
Compute Resources
Match your application use case with the right compute resource.
Shared CPU Cores
Related Content
Craft of Code:
Customer Stories
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Hero Forge
A cost analysis of GPUs proved that Akamai Cloud Computing was the right choice, and Hero Forge has been a customer since 2013. -
Robot Squid
Robot Squid evaluated several cloud providers, searching for reliability and ease of use. Akamai stood out immediately. -
Nathan Flurry & Nicholas Kissel
Challenges with DigitalOcean's pricing, support, and reliability led Rivet to discover Rise, Akamai's cloud computing startup program. -
Rutledge Daugette
TechRaptor’s compute instances run out of Linode’s Newark, NJ data center. The site’s tech stack includes Ubuntu, Drupal, and MariaDB. -
Mike Kasprzak
Ludum Dare has been on Linode since 2015. Switching to servers with Solid State Drives improved the website performance at a lower cost. -
Nathan Esquenazi
CodePath runs almost entirely out of Linode's Dallas data center and relies on Compute instances, NodeBalancers, and object storage. -
FUTBIN
FUTBIN has been hosted on Linode since day one. The community caught the attention of Better Collective, which acquired FUTBIN for a reported €105 million. -
Dev Mukherjee
Dev Mukherjee runs Anomaly, a full application developer building everything on Linode and recommending it to customers. -
Sheryl Villaroman
Looking for a partner capable of supporting complex needs without inordinate expenses, Nephila Web decided to work with Linode. -
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.
Guides
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Getting Started with Linode GPU Instances
This guide walks you through deploying a GPU instance and installing the CUDA Toolkit. -
Cloud GPUs Tutorial from sentdex
An overview of the current cloud GPU providers and a tutorial on making good use of these servers. -
Plan Types – Choosing a Compute Instance Type and 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.
Ready to get started or have questions?
Set up your free account today or contact a sales consultant to learn more.