Vultr Serverless Inference is a cloud-based service that enables organizations to deploy, scale, and serve generative AI (GenAI) models globally without managing infrastructure. It offers a serverless architecture, real-time resource optimization, and secure vector database storage for embeddings, supporting high-performance inference on NVIDIA and AMD GPUs. The platform is designed for seamless integration via an OpenAI-compatible API, making it accessible for developers and enterprises seeking scalable, secure, and cost-effective AI inference solutions.

Key Features

Serverless AI Model Deployment Automated, global deployment and scaling of GenAI models.

• No infrastructure management required.
• Self-optimizing resource allocation for performance and cost.

OpenAI-Compatible API Easy integration with existing AI workflows.

• Familiar API structure for rapid adoption.
• Supports a wide range of GenAI models.

Secure Vector Database Private storage for embeddings used in inference.

• Data is isolated and inaccessible to others.
• Not used for model training, ensuring data privacy.

Inference-Optimized GPU Support Runs on high-performance NVIDIA and AMD GPUs.

• Delivers low-latency, high-throughput inference.
• Scalable across six continents for global reach.

Turnkey Retrieval-Augmented Generation (RAG) Upload documents/data for use in AI inference.

• Embeddings stored securely for model outputs.
• No risk of proprietary data leakage.

Benefits

Reduced Operational Complexity Simplifies AI deployment and management.

• Eliminates need for manual infrastructure scaling.
• Frees teams to focus on innovation, not operations.

Scalability and Performance Meets demands of enterprise and global workloads.

• Dynamic scaling to match application needs.
• Consistent, low-latency inference worldwide.

Security and Compliance Protects sensitive data and supports regulatory needs.

• Isolated environments for high-demand or sensitive workloads.
• Data residency and compliance features for regulated industries.