Oracle’s recent earnings beat did more than surprise analysts; it underscored a larger truth for the enterprise technology landscape: AI is no longer a bet on the future. It is the driver of business today.
At the heart of this momentum is Oracle Cloud Infrastructure (OCI), now rapidly becoming one of the most important platforms for deploying large-scale generative AI, machine learning, and data analytics workloads. But OCI’s rise also signals a deeper shift, a recognition that the future of AI depends on intelligent infrastructure. As the global business community prepares to gather Oracle AI World, taking place October 13–16, 2025, in Las Vegas, one theme is becoming clear: data intelligence is the new differentiator in AI.
Enterprise AI Is Facing a Data Infrastructure Bottleneck
Organizations across industries are scaling up AI investments in response to customer demand, operational efficiency goals, and competitive pressure. From building large language models to powering inference engines and deploying Retrieval-Augmented Generation (RAG) systems, the pace of AI adoption is accelerating. But success isn’t just about model accuracy or GPU count. The reality is this:
Enterprise AI succeeds or fails based on the performance and architecture of its data infrastructure.
CIOs and CTOs are now grappling with fundamental AI infrastructure challenges:
- Siloed data environments that prevent real-time access and analysis
- High latency in model training, checkpointing, and inference
- Soaring cloud egress and GPU idle costs due to inefficient data pipelines
- Inflexible systems that cannot scale across hybrid and multi-cloud environments
While generative AI garners headlines, these bottlenecks define the real-world viability of enterprise AI.
Oracle AI World: The Future of Intelligent Infrastructure
Oracle AI World is designed to bring leaders together to solve the most urgent barriers to scalable AI adoption. And this year, a key breakthrough will be on display: the convergence of Oracle’s cloud infrastructure with DDN’s data intelligence platform, Infinia.
Oracle + DDN: Building the Future of Enterprise AI
The enterprise world is moving past AI pilots and into full production. In this environment, infrastructure agility, data governance, and AI pipeline performance become make-or-break capabilities.
Together, Oracle and DDN deliver a cloud-native, software-defined, and AI-optimized foundation that helps enterprises succeed at every stage of their AI journey. From large language models to inference-at-the-edge to sovereign AI environments, DDN Infinia on Oracle Cloud Infrastructure is purpose-built for AI at scale.
Why Intelligence Infrastructure Matters for AI Workloads
DDN Infinia, now available natively on Oracle Cloud Infrastructure, creates a purpose-built data platform for AI at scale. It is specifically engineered to meet the needs of enterprises building and deploying AI across complex, distributed environments.
Here’s how DDN Infinia enhances Oracle’s cloud AI capabilities:
- Unified AI Data Pipeline
Infinia enables a single data plane for ingestion, preparation, inference, and analytics, reducing complexity and eliminating the need to move data between tools and silos. - AI-Optimized Performance
With 22x faster object listing compared to legacy platforms, Infinia ensures GPU resources stay productive, reducing infrastructure costs and accelerating time-to-insight. - Multi-Tenancy and Governance
Built-in support for secure, isolated tenants, legal hold, and compliance frameworks makes Infinia ready for regulated industries and sovereign cloud deployments. - Seamless AI Stack Integration
Infinia integrates with NVIDIA NeMo, NIMs, and other leading AI frameworks, allowing enterprises to deploy high-performance AI pipelines with ease on Oracle’s infrastructure. - Edge-to-Cloud Scalability
From data generated at the edge to centralized model training in the cloud, DDN supports full lifecycle AI operations across hybrid environments.
In short, DDN provides the data intelligence layer that enables Oracle’s AI infrastructure to operate with speed, security, and efficiency.
Performance Outcomes: Faster, Smarter, and More Cost-Efficient AI
According to IO500 benchmarks, DDN outperforms competitors in key AI performance metrics, such as:
- 3x faster data load speeds
- Up to 30% higher GPU throughput
- $100,000+ in savings per AI training run from reduced idle time
These results translate into faster discoveries in life sciences, more accurate financial predictions, reduced fraud detection latency, and better user experiences across every sector embracing AI.
Who Should Attend Oracle AI World?
Oracle AI World is the must-attend event for any enterprise leader building or scaling AI initiatives. This includes:
- CIOs and CTOs developing AI strategies across cloud and data center environments
- AI engineers and architects designing scalable inference, analytics, or RAG pipelines
- Data platform teams seeking to reduce latency, improve GPU utilization, and simplify hybrid operations
- Business leaders looking to transform operations, accelerate innovation, or gain a competitive edge through AI
You’ll get to explore real-world solutions from Oracle, NVIDIA, DDN, and other leaders shaping the AI infrastructure stack.
Conclusion: In AI, Speed Wins. But Intelligence Sustains.
The most powerful AI models in the world are useless without the infrastructure to feed, govern, and scale them. Oracle understands this. That’s why it is investing in building the most capable AI cloud. And that’s why DDN has partnered with Oracle to bring the world’s most advanced data intelligence platform to that cloud. If your organization is serious about deploying AI in production, don’t miss the chance to see this platform in action at Oracle AI World.
