Vultr Cloud GPU delivers globally available, on-demand GPU computing resources. Users can access high-performance AMD and NVIDIA GPUs for AI, machine learning, rendering, gaming, and other compute-intensive workloads. The service offers both bare metal and virtualized GPU instances, with flexible pay-as-you-go pricing and no long-term contracts. Vultr provides pre-configured images, serverless inference, and integration with popular AI/ML tools, making it suitable for a wide range of development and production scenarios.

Key Features

Bare Metal and Virtual GPU Access Direct access to the latest AMD and NVIDIA GPUs, including bare metal options.

• Full GPU performance for demanding workloads
• No vendor lock-in or high egress costs

Pre-configured AI/ML Templates Ready-to-use images with essential drivers and frameworks.

• Reduces setup time for AI/ML projects
• Includes AMD ROCm, NVIDIA CUDA, Docker, and more

Serverless Inference Automatic provisioning and scaling of GPU resources for inference workloads.

• Deploy GenAI models without managing infrastructure
• OpenAI-compatible APIs and inference-optimized GPUs

Flexible Pricing and Deployment Transparent, pay-as-you-go rates with no long-term contracts.

• Reserved and on-demand GPU instances
• Global data center availability

Integration and Compatibility Supports industry-standard tools and frameworks.

• Compatible with major AI/ML libraries
• Integration with Jupyter, Docker, and containerized environments

Benefits

Scalability and Flexibility Easily scale GPU resources up or down based on workload needs.

• Supports both bursty and consistent workloads
• Suitable for development, testing, and production

Cost Efficiency Competitive pricing with predictable costs.

• No complex billing or hidden fees
• Pay only for what you use

Performance and Reliability High-performance GPUs with global reach.

• Low-latency access for AI and HPC applications
• Reliable infrastructure for enterprise workloads