You bought the GPUs. You built the cluster. You’re spending millions on power and operations.
And right now, 40 percent of your GPUs are doing nothing.
Not because something is broken. Because the data isn’t arriving fast enough to keep them working. A GPU waiting for data is a GPU burning money. On a thousand-chip cluster, that’s $11 million in idle silicon every quarter.
GPUs don’t run on electricity. They run on data.
Fix the Data Layer. Get Your GPUs Back.
DDN customers run at 99 percent GPU utilization. The industry average is 60 percent.
That gap — on a $27.5 million cluster — is $8 million in recovered productive capacity. Without buying a single new chip.
We also cut AI infrastructure costs by up to 70 percent. We cut power consumption up to 10x at the data layer.
This is not a storage story. This is a capital efficiency story. Every industry, every workload, every use case — the physics is the same. Fast data in, fast tokens out, GPUs running at full capacity, better economics.
That is what DDN delivers.
From Wall Street to Sovereign Nations. Every Environment.
The largest hedge funds run real-time trading models on DDN because they can’t afford to lose a trade waiting for data. Pharmaceutical companies compress drug discovery timelines because a model that trains twice as fast reaches the market twice as fast. Sony Honda Mobility trains autonomous driving models 3x faster. Time to market is everything.
Seven of the ten largest AI clusters on the planet run on DDN. NVIDIA has run on DDN exclusively since 2016. When xAI built Colossus — one of the largest supercomputers ever constructed — they chose DDN. Jensen Huang said it plainly: “Without DDN, NVIDIA supercomputers wouldn’t be possible.”
And nations are customers too. No country is going to run its citizens’ data or national security on someone else’s cloud. The DDN Sovereign AI Factory is in production today across Indonesia, the UAE, and beyond. Ten national deployments committed over the next two years.
Edge. Data center. Multi-cloud. On-premises.
DDN runs everywhere AI runs.
The New Metric: Tokens per Dollar.
The AI infrastructure conversation has changed. It used to be about terabytes and uptime. Those metrics are dead.
What CFOs and CEOs are asking today: What does each AI answer cost me? How much revenue does each GPU generate?
Cost per token. Revenue per GPU. Tokens per watt. These are business metrics now, not IT metrics.
DDN was built for this before it had a name. Our customers figured out the token economics years ago. That decision is showing up on their income statements today as competitive advantage.
The companies that make AI profitable will own the next decade. The ones still running at 60 percent GPU utilization will spend it trying to catch up.
Over a million GPUs in production. Eighty-five Fortune 500 customers. The data platform of choice for NVIDIA, xAI, Google, and sovereign AI programs on three continents.
We don’t make GPUs faster. We make them work. All of them. All the time.
That’s the difference between an AI investment and an AI business.
Alex Bouzari is CEO and Co-Founder of DDN. Learn more at ddn.com.