Blueprints

PDx® Hybrid AI Use Case Featuring Oracle Solutions – AI Training/Inference – Public Cloud

Optimize AI training and inference with public cloud infrastructure. This PDx® blueprint reduces latency, improves data transfer speeds, and ensures scalable AI processing with cloud-adjacent colocation.

Our Pervasive Datacenter Architecture (PDx®) Hybrid AI Blueprint for AI Training/Inference in the public cloud integrates Oracle’s cloud infrastructure with colocation services to support high-performance AI models. PDx® is a proven methodology that optimizes distributed infrastructure, enabling efficient training and inference for large language models (LLMs). This setup ensures fast, secure access to public cloud resources, helping you manage the full lifecycle of AI workflows.

By leveraging cloud-adjacent colocation, you can reduce latency, improve data transfer speeds, and scale AI processing efficiently with hosted GPUs. This solution ensures compliance and data security, while reducing the cost and complexity of AI model training and inference.

Ideal for businesses looking to optimize AI model performance in the public cloud.