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
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Content Resources
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.