Google Next 2026 · Seller Pocket Guide

Managed Lustre, powered by DDN: the storage layer that keeps GPUs fed

A 30-second explainer, qualifier checklist, and ready-to-copy talk track for spotting and closing Managed Lustre opportunities on Google Cloud.

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Why this deal matters

1.5 TB/s
peak throughput to GPUs
50–70%
faster model training
95%+
GPU utilization
$100K–$1M+
ACV, 4–8 week cycles
30-second explanation

What Managed Lustre is, and why it's worth bringing up

Managed Lustre feeds data to GPU clusters fast enough to keep them fully utilized — up to 1.5 TB/s, cutting training time 50–70% and pushing GPU utilization to 95%+. It's fully managed by Google Cloud and powered by DDN, so there's zero DevOps for the customer. Think of it as the performance layer that sits between GPUs and Cloud Storage: Google Cloud's high-performance AI storage answer for any customer whose GPUs are idling while they wait on data.

Listen for this

Trigger phrases from the customer

If a customer says any of these, Managed Lustre is worth a follow-up question.

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"Our GPUs are sitting idle waiting on data."
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"Training is taking longer than it should."
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"We're running A100s or H100s at scale."
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"We've got 10TB+ of training data to move."
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"We run genomics, weather, or financial simulations."
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"Cloud Storage can't keep up with our GPU cluster."
Qualify in 30 seconds

Check 2 or more to flag a Qualified Opportunity

0 of 5 checked
✓ Qualified Opportunity
Ready-to-copy talk track

Your script, start to close

"Quick question — how are your GPUs keeping up with data loading during training right now?"
  • What GPU hardware are you running, and how large are your datasets?
  • Where's your training data stored today, and how is it getting to the GPUs?
  • Do you know roughly what GPU utilization you're seeing during training runs?
  • Have you had to slow down or delay a training run because of data loading?
"Managed Lustre is a Google Cloud storage service, run by us and powered by DDN, that sits between your GPUs and Cloud Storage. It streams data at up to 1.5 TB/s so your GPUs stay fed — customers typically see 50–70% faster training and GPU utilization above 95%. Fully managed, zero DevOps on your side."
  • "We already use Cloud Storage." — Managed Lustre sits alongside it as a performance layer for the GPU training path, not a replacement.
  • "Sounds like more infrastructure to manage." — It's fully managed by Google Cloud and powered by DDN — zero DevOps on the customer's side.
  • "Is this worth the cost?" — Idle GPU time is usually the more expensive problem; this is priced against that idle time, not against storage alone.
"Worth a short call with our storage specialist and DDN to size this for your environment? I can set that up this week."

Submit Lead to DDN

Send the prospect straight to the DDN alliances team. Include whichever qualifiers applied above.