DDN and Google Cloud Partner to Revolutionize AI and HPC Workloads with Managed Lustre and Infinia at Google Cloud Next 2025
In a groundbreaking announcement at Google Cloud Next 2025, DDN, the global leader in AI and data intelligence solutions, unveiled its collaboration with Google Cloud to deliver transformative AI and high-performance computing (HPC) infrastructure. The partnership introduces Google Cloud Managed Lustre, powered by DDN’s industry-leading EXAScaler technology, offering enterprises and startups a scalable, high-performance storage solution designed to accelerate AI, generative AI (GenAI), and HPC workloads.
Unlocking the Power of AI and HPC at Scale
AI and HPC applications require lightning-fast data access and processing capabilities that traditional storage systems often fail to deliver. Google Cloud Managed Lustre, built on DDN’s EXAScaler, addresses this challenge with a persistent parallel file system—a key differentiator that ensures continuous, high-speed data flow. This solution empowers organizations to harness the full potential of Google Cloud services while achieving unmatched speed, scalability, and efficiency for their most demanding workloads.
Key Advantages of Managed Lustre for AI and HPC
- Superior Performance: Achieve up to 1 TB/s throughput, enabling peak efficiency for AI training, inference, and HPC simulations.
- Accelerated Time-to-Insight: Streamline data pipelines to reduce bottlenecks and deliver faster results, exceeding service-level agreements (SLAs).
- Seamless Scalability: Scale effortlessly from terabytes to petabytes, accommodating the needs of both enterprises and GenAI innovators.
- Cost Optimization: Maximize GPU utilization and reduce idle compute time, ensuring efficient cloud-based training with flexible pricing models.
Empowering Enterprises to Scale AI Workloads
For enterprises tackling AI at scale, Managed Lustre offers unparalleled benefits:
- Proven Data Management: Persistent access ensures reliability, as proven in top-tier supercomputing environments.
- Seamless Integration: Connects with Google Cloud’s ecosystem, including Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage, eliminating bottlenecks and enhancing workflow efficiency.
- Broad Accessibility: Brings supercomputing-class storage and compute capabilities to businesses of all sizes, democratizing access to advanced AI infrastructure.
By accelerating data pipelines for training, deployment, and innovation, Managed Lustre enables enterprises to unlock the full potential of AI and HPC applications, driving business growth and competitive advantage.
Fueling Innovation for GenAI Startups
Startups focused on generative AI can leverage DDN for Google Cloud to scale without constraints:
- Fast Model Development: Persistent parallel performance accelerates large language model (LLM) training and fine-tuning.
- Instant Deployment: Accessible via the Google Cloud console, enabling rapid adoption and integration into cloud workflows.
- Real-Time Inference: Ensures low-latency data access for GenAI applications, delivering responsive and accurate results.
- Lifecycle Optimization: Keeps data AI-ready from pretraining to inference, streamlining operations and reducing costs.
This solution empowers startups to focus on innovation rather than infrastructure management, providing a cost-effective and scalable foundation for their AI ambitions.
Mission-Critical Reliability and Fully Managed Infrastructure
Reliability is paramount in AI and HPC workloads, and Managed Lustre delivers with 99.999% uptime, supporting mission-critical applications like LLMs, retrieval-augmented generation (RAG), and advanced analytics. As a fully managed service, it integrates seamlessly across Google Cloud’s ecosystem, including Compute Engine, GKE, and Cloud Storage, freeing teams to focus on innovation rather than infrastructure maintenance.
A Seismic Shift in AI and HPC Infrastructure
“This partnership between DDN and Google Cloud represents a seismic shift in AI and HPC infrastructure—rewriting the rules of performance, scale, and efficiency,” said Alex Bouzari, Co-Founder and CEO of DDN. “By combining our industry-leading EXAScaler and Infinia technologies with Google Cloud’s global reach and cutting-edge compute power, we’re not just accelerating AI—we’re unleashing an entirely new era of AI innovation at an unprecedented scale. This is the future, and it’s happening now.”
Santosh Erram, VP of AI Partnerships at DDN, added, “As a leader in AI infrastructure, this partnership marks a defining milestone in our hyperscaler strategy. By uniting DDN’s enterprise-grade performance with the global scalability of Google Cloud, we’re breaking down the barriers between on-premises precision and cloud agility. Hyperscaler customers can now extend their AI workloads to the cloud effortlessly—without compromising on speed, scale, or reliability. This collaboration accelerates time-to-insight and redefines what’s possible for AI innovation in the cloud.”
Experience the Future of AI Data Infrastructure
With Managed Lustre for Google Cloud and DDN’s Infinia, customers gain access to a complete, scalable, and high-performance AI data infrastructure. Whether building large language models (LLMs), scaling generative AI, or enabling autonomous intelligence, DDN and Google Cloud provide the foundation for success—delivering unmatched speed, efficiency, and scalability for the most demanding AI and HPC workloads.
Discover More at Google Cloud Next 2025
Attendees at Google Cloud Next 2025 are invited to experience the future of AI data infrastructure firsthand:
- Visit the Google Cloud Booth: Explore live demos of Managed Lustre and see how it accelerates AI and HPC workloads.
- Session BRK2-025: Join experts to discover how DDN and Google Cloud are shaping the future of AI data storage and intelligence.
This collaboration between DDN and Google Cloud marks a new era of innovation, empowering organizations to push the boundaries of AI and HPC. With Managed Lustre, businesses of all sizes can now achieve breakthrough performance, scalability, and efficiency—unlocking the full potential of AI-driven transformation.
