Supercharge Your AI Workloads With Oracle Cloud And DDN
Oracle, Thursday, August 14th, 2025
As AI workloads mature from training-focused experiments to real-time, production-scale systems, enterprises are starting to look for infrastructure that meets the performance demands of each stage - from model training to retrieval-augmented generation (RAG) and real-time inference.
S3-compatible storage has emerged as a standard interface for modern AI platforms, thanks to its flexibility and cloud-native integration. However, workloads like RAG, interactive inferencing, and agentic AI often require high-concurrency, low-latency access to object data - pushing the performance envelope further.
At Oracle, we collaborate closely with technology partners to provide best-in-class storage solutions tailored to the evolving needs of our customers. By drawing on our partners' specialized expertise, we facilitate our customers to benefit from the efficient, scalable, and high performance storage options available. In this blog, we will share the results of a joint Proof of Concept (POC) between Oracle and Oracle Partner Network member DDN, highlighting the architecture and performance outcomes of using the DDN Infinia solution on Oracle Cloud Infrastructure (OCI) IaaS Compute.