DDN + Google Cloud Managed Lustre
High-performance storage for AI workloads
Seller Guide
Everything you need to know
The Elevator Pitch
High-performance storage for AI/HPC workloads. Feeds data to GPU clusters fast enough to keep expensive GPUs fully utilized.
Top Use Cases:
The Business Problem
Customers spend $2-5/hour per GPU but if storage can't keep up, GPUs sit idle 20-40% of the time. That's tens of thousands wasted monthly.
Large Deals
Annual contract values
Fast Cycles
When GPUs are bleeding money
Strategic Accounts
High-value AI customers already on GCP
Protects Revenue
Keeps customers successful and expanding
Pro tip: If your customer spends $50K+/month on GPUs, they should hear about Managed Lustre.
When you hear these, bring up Managed Lustre
Is This Your Customer?
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Your Talk Track
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"If your AI workloads are running on GPUs in Google Cloud and training is slow, the bottleneck is often storage."
- •How many GPUs are in your training cluster?
- •How large are your datasets?
- •Do training jobs ever stall waiting on data?
- •What's your typical GPU utilization during training runs?
- •How long does a typical training job take today?
Managed Lustre is a high-performance file system that feeds data to GPUs fast enough to keep them fully utilized. It can push up to 1.5 terabytes per second, which means your GPUs stay fed. Companies using it see 50-70% faster training times and GPU utilization jump to 95%+. It's fully managed by Google Cloud, powered by DDN technology.
"Let me connect you with our DDN specialists who can show you exactly how this would work in your environment. They can map out the architecture and show ROI based on your specific GPU cluster size."
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Remember
Managed Lustre is a Google Cloud service. Position as "Google Cloud's high-performance AI storage solution."