At Google Cloud Next 2025, DDN, the global leader in AI and data intelligence, announced a major collaboration with Google Cloud to deliver Managed Lustre, a fully managed, high-performance data infrastructure solution based on DDN’s EXAScaler platform. This strategic alliance redefines how enterprises and GenAI startups build, scale, and manage demanding AI, GenAI, and HPC workloads on the cloud. By fusing DDN’s EXAScaler with Google Cloud’s global compute capabilities, the offering introduces a persistent parallel file system that delivers the speed, scalability, and reliability traditionally reserved for supercomputing environments—now accessible through Google Cloud.
AI and HPC Require Next-Level Data Infrastructure
Traditional storage can’t keep pace with the data demands of advanced AI models and high-performance computing. DDN’s EXAScaler within Google Cloud Managed Lustre solves that with a persistent parallel file system designed for uninterrupted high-performance access.
Capabilities:
- Blazing Throughput: Up to 1 TB/s—ideal for training, fine-tuning, and inferencing at scale.
- Scalable Performance: Supports workloads from terabytes to petabytes with ease.
- Persistent Access: Delivers continuous availability critical to large-scale model pipelines.
- Integrated Stack: Seamless compatibility with Google Compute Engine, GKE, Cloud Storage, and other services.
“This partnership between DDN and Google Cloud is a seismic shift in AI and HPC infrastructure,” said Alex Bouzari, Co-Founder and CEO, DDN.
Empowering Enterprises to Unlock AI at Scale
DDN’s technology, battle-tested in the world’s top supercomputers, now empowers enterprises to:
- Accelerate AI Outcomes: Reduce training time and inference latency.
- Ensure SLA Compliance: Meet uptime and performance standards at scale.
- Eliminate Bottlenecks: Streamline data pipelines with full-stack integration.
- Unlock Supercomputing Agility: Bring on-premises-grade performance to the cloud.
“Hyperscaler customers can now extend their AI workloads to the Cloud effortlessly—without compromising on speed, scale, or reliability,” said Santosh Erram, VP of AI Partnerships at DDN.
Fueling GenAI Innovation for Startups
GenAI startups face distinct challenges in training and deploying large language models. This solution gives them:
- Rapid Model Development: Persistent file systems accelerate large-scale training.
- Real-Time Responsiveness: Low-latency access to data enables real-time inferencing.
- Cost Optimization: Efficient GPU utilization minimizes idle compute time.
- Ease of Access: Available directly via the Google Cloud Console for rapid adoption.
Mission-Critical Reliability and Simplicity
AI workloads require consistent uptime and reliability—especially for real-time applications and analytics.
- 99.999% Uptime: Enterprise-grade availability supports mission-critical systems.
- Fully Managed Service: Reduces operational overhead—freeing teams to focus on innovation, not infrastructure.
- Lifecycle Support: From pretraining to deployment, data remains AI-ready across stages.
Accelerating AI Innovation in the Cloud
The DDN-Google Cloud partnership is a leap forward for cloud-based AI architecture. With Managed Lustre and DDN Infinia, customers benefit from a full-stack AI-ready environment that supports:
- LLMs and Generative AI models
- Autonomous systems and edge intelligence
- HPC-driven simulations and analytics
This marks a new era in cloud AI data infrastructure, combining DDN’s performance precision with Google Cloud’s global scalability.
Infrastructure That Keeps Pace with AI’s Future
With this joint launch, DDN and Google Cloud deliver a future-ready AI infrastructure solution that eliminates performance trade-offs. Enterprises and GenAI startups alike can now build, train, and scale models without bottlenecks—leveraging a persistent, high-performance data layer purpose-built for modern AI and HPC workloads.
As AI innovation accelerates, so too must the infrastructure supporting it. Google Cloud Managed Lustre powered by DDN EXAScaler is that next-generation foundation.
