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.
- Dedicated vCPU cores: 8-24 cores
- Memory: 32GB - 128GB
- SSD Storage: 640GB - 7200 GB
- Transfer: 16-20TB
- Network In: 40GBPS
- Network Out: 10GBPS
- Dedicated IPv4 and IPv6 addresses
- Standard Linux Distributions
- Deploy via Custom Image, StackScript
- Direct console access through Lish
- Provision via Cloud Manager or Linode CLI
- Programmatic management via Linode API
- Multi-queue NIC support
- Available in selection regions
- Accelerated data science models
- Machine learning applications
- Artificial intelligence analysis
- Parallel processing workloads
- 3D modeling and design applications
Linode GPU Overview
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
|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|
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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.
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.