Compute - 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.

GPU plans are ideal for highly specialized workloads that would benefit from dedicated NVIDIA GPUs, including maching learning, AI, and data/graphics processing.

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 CapEx into an OpEx.

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.

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.

A GPU Compute Instance’s vCPU cores are dedicated and accessible only to you. Because the vCPU cores are not shared, no other Compute Instances can utilize them. Your instance never has to wait for another process, enabling your software to run at peak speed and efficiency. This allows you to run workloads that require full-duty work (100% CPU all day, every day) at peak performance.

GPU Compute Instances are suitable for specialized workloads that are optimized for GPUs:

• Machine learning and AI
• Big data processing
• Video encoding
• Graphics processing

See the Use Cases for Linode GPU Instances guide to learn more about these use cases.

Atlanta, GA, United States; Frankfurt, Germany; Newark, NJ, United States; Mumbai, India; Singapore, Singapore

Pricing starts at $1,000/mo ($1.50/hr) for a GPU Instance with 1 GPU card, 8 vCPU cores, 32 GB of memory, and 640 GB of SSD storage. Review the Pricing page for additional plans and their associated costs. See the Comparison of Compute Instances section below to learn more about other Instance types.

Note

In some cases, a $100 deposit may be required to deploy GPU Compute Instances. This may include new accounts that have been active for less than 90 days and accounts that have spent less than $100 on Linode services. If you are unable to deploy GPU instances, contact Support for assistance.

In addition to the resources allocated to each available plan (outlined above), GPU Compute Instances have the following specifications:

• NVIDIA Quadro RTX 6000 GPUs
• Dedicated vCPU cores
• 100% SSD (Solid State Disk) storage
• 40 Gbps inbound network bandwidth
• Free inbound network transfer
• Dedicated IPv4 and IPv6 addresses (additional addresses available on request)
• Deploy using the many available Linux Distributions, Marketplace Apps, or Community StackScripts
• Direct console access through Lish
• Provisioning and management through the Cloud Manager, Linode CLI, or programmatically through the Linode API
• Multi-queue NIC support on plans with 2 or more vCPU cores.

Linode bundles the following services with all Compute Instances:

• Always-on DDoS Protection
• Domain management through our DNS Manager
• Seamless firewall management with Cloud Firewalls
• Private Layer 2 networks with VLANs
• Metrics and monitoring through the Cloud Manager and Longview (free plan)
• Reusable deployment scripts through StackScripts

To help build and manage your applications, consider complementing your Compute Instance with the following compatible services:

• Automated daily and weekly backups with our Backups service
• Add additional storage drives with Block Storage
• Create and store reusable images with Custom Images
• Advanced metrics and monitoring through Longview Pro
• Automated service deployments with LKE (Linode Kubernetes Engine)
• Incident response (and more) with Managed Services
• Enable load balancing and horizontal scaling with NodeBalancers
• Add scalable storage to your application with Object Storage

See Choosing a Compute Instance Type and Plan for a full comparison.