Whenever people talk about AI scaling, the spotlight usually goes to GPUs, model tweaks, or which cloud platform is cheaper this week. But the quieter reality is this: artificial intelligence storage decides whether those systems run smoothly or grind to a halt. If you don’t have drives that can handle the weight, training datasets stall, inference crawls, and costs go off the rails.
That’s where Seagate’s Exos Mozaic 3+ comes in. It shifts the idea of storage from just “somewhere to dump data” into a core piece of AI strategy.
Why Artificial Intelligence Storage Needs a Rethink
Artificial intelligence doesn’t sit still. Models balloon, datasets multiply, and access requirements never let up. Standard enterprise drives – the ones built for general IT workloads – simply can’t keep pace. They fall short on density, waste power, and crack under round-the-clock strain.
AI workloads, on the other hand, expect storage that can:
- Handle petabytes without endless rack expansion.
- Stream sustained throughput for training jobs that never pause.
- Balance speed with cost efficiency and energy concerns.
That’s the gap Mozaic 3+ was designed to fill.
What Makes Exos Mozaic 3+ Different in the AI Era
The backbone of this drive is Heat-Assisted Magnetic Recording (HAMR), a technology that lifts capacity to 3 TB per platter, giving us 36 TB in a single drive. Beyond the numbers, though, it’s the way it’s tuned for AI:
- Density first – more datasets live closer to the compute nodes, cutting delays.
- Power savings – roughly 60 % less energy per terabyte compared with older enterprise drives.
- Reliability baked in – 90 % of parts are proven from earlier Exos models, so it’s not untested tech.
Together, that makes scaling AI storage less of a financial headache and more of an operational win.
Mozaic 3+ vs. Traditional Storage
| Feature/Metric | Legacy Enterprise HDDs | Seagate Exos Mozaic 3+ | Why It Matters for AI Storage |
|---|---|---|---|
| Max Capacity per Drive | 16–20 TB | 36 TB (now), 40+ TB soon | Fewer racks for the same datasets |
| Cost per Terabyte | Higher | ~25 % lower | More affordable scaling for AI projects |
| Power Use per TB | Heavy draw | ~60 % less | Less heat, lower energy bills |
| Throughput | 150–200 MB/s | 275–300 MB/s | Faster training and inference cycles |
| Reliability | Good enough | Optimized with HAMR tech | Handles 24/7, high-stress AI workflows |
Artificial Intelligence Storage as a Competitive Edge
The overlooked part of AI pipelines isn’t the fancy models – it’s whether the data is where it needs to be, when it needs to be. That’s where storage wins or loses. Faster access means models train quicker. Quicker iterations mean faster launches. That can make or break a company chasing the AI gold rush.
Mozaic 3+ helps teams:
- Keep entire datasets live instead of shuffling between archives.
- Prevent inference jobs from stalling on slow I/O.
- Stay compliant with sustainability mandates without throttling compute.
Storage stops being a bottleneck and starts acting like a growth lever.
Where AI Gains Real Ground With Mozaic 3+
Examples speak louder:
- Healthcare AI – Radiology departments can keep massive imaging libraries online, feeding diagnostic models in real-time.
- Autonomous driving – Training requires mountains of video and sensor logs; Mozaic 3+ packs it in without blowing out data center space.
- Generative AI – Language models thrive on constant retraining. Having affordable, scalable artificial intelligence storage makes iteration sustainable.
These aren’t hypotheticals – they’re pain points companies deal with right now.
It’s tempting to obsess over GPUs and ignore storage. But without the right foundation, AI infrastructure caves under its own weight. The Seagate Exos Mozaic 3+ makes sure that doesn’t happen. It isn’t just more storage; it’s storage tuned for the realities of AI.
If your roadmap leans on artificial intelligence, this is the hardware that keeps it upright.
Contact our experts today to discuss Seagate Solutions: https://exertisenterprise.com/seagate/
