Linode's GPU compute service provides on-demand access to high-performance GPUs for demanding workloads. The service offers NVIDIA RTX 4000 Ada generation cards and NVIDIA Quadro RTX 6000 GPUs, enabling users to harness parallel computational power for applications in media transcoding, machine learning, data analytics, and gaming. By offering GPU-optimized virtual machines, Linode allows engineers, scientists, and artists to access the capabilities of CUDA, Tensor, and RT cores without the need for significant upfront investment in hardware.

Key Features

On-demand GPU Access Linode provides flexible access to powerful GPUs for compute-intensive tasks.

• NVIDIA RTX 4000 Ada generation cards available in core regions
• NVIDIA Quadro RTX 6000 GPUs for balanced price-performance

Scalable Performance Users can choose from multiple plan types to meet their specific needs.

• Plans offer up to four GPU cards per instance
• Options range from 32 GB to 128 GB RAM and 8 to 24 CPUs

Global Availability GPU instances are accessible in various locations worldwide.

• Available in core compute regions across North America, Europe, and Asia
• Expanding to more locations in the future

Benefits

Cost-Effective Solution Linode's GPU service transforms capital expenses into operating expenses.

• Eliminates high costs associated with purchasing and maintaining GPUs
• Provides on-demand access to powerful hardware without long-term commitments

Simplified Complex Workloads The service removes barriers to entry for advanced computing tasks.

• Enables users to focus on core competencies rather than hardware management
• Supports complex use cases such as machine learning, AI, and video streaming

Flexible Resource Allocation Users can select plans that best fit their computational requirements.

• Options for different combinations of RAM, CPUs, storage, and GPU cards
• Ability to scale resources based on project needs