Neoclouds and GPU cloud providers compete on one promise: better GPU economics than the hyperscalers. Delivering it comes down to a storage layer most teams underestimate. Object storage for neoclouds has to do three hard things at once — feed GPUs fast enough to avoid idle time, scale to petabytes of training data and model checkpoints, and hold a cost line that protects margin. Cloudian HyperStore is S3-native object storage built for exactly that: high-throughput AI storage for training and inference, on flash, HDD, or hybrid, deployed on-premises or in your colocation footprint. Here’s why neoclouds and GPU cloud providers choose Cloudian.
The Neocloud Margin Problem Starts with Storage
The pitch to your customers is simple: better GPU economics than the incumbents. But legacy enterprise storage works against that pitch. It’s priced for enterprise procurement, not for per-GPU-hour economics, and every dollar spent on an oversized storage tier is a dollar that never reaches your margin. Cloudian delivers storage economics built for the neocloud model, so every dollar goes further and every GPU stays productive.
Storage Economics for GPU Clouds: Flash, HDD, or Hybrid
Not every AI workload needs flash speed. Cloudian lets you match media to workload, HDD or flash, to tune cost against performance across your GPU cloud. Or deploy both and let Cloudian’s automated tiering keep hot data on flash and cold data on HDD without operator intervention. The result: you never overpay for performance a workload doesn’t need, and you never lose a customer to latency they can’t afford.
High-Performance, Foundational Object Storage for AI Training and Inference
Idle GPUs are the most expensive line item in a neocloud business, and slow storage is one of the fastest ways to create them. Cloudian HyperStore delivers foundational object storage throughput that scales as you add capacity, so the storage layer keeps GPUs fed instead of stalling them during model loading and checkpointing:
- RDMA for S3 reduces CPU overhead and latency on S3 operations.
- Up to 35 GB/s per node on reads provides scalable throughput that maximizes GPU utilization and ROI.
For AI training and inference at scale, that means high sequential throughput for large dataset and model reads without the I/O stall that leaves expensive GPUs waiting on data.
Multi-Tenant Object Storage for Shared GPU Infrastructure
Shared infrastructure is what lowers your cost per customer — but only if tenants stay truly isolated. Cloudian multi-tenant object storage delivers hard isolation and independent operations for every tenant. QoS controls prevent noisy neighbors, so one customer’s workload never degrades another’s performance, and you can pack more tenants onto the same GPU cloud infrastructure with confidence.
S3-Native Storage: Simple Repatriation from AWS S3
When customers move AI workloads off AWS, the migration shouldn’t require rewriting applications, retraining teams, or rebuilding pipelines. Cloudian HyperStore is S3-native — not just S3-compatible — so the applications, tools, and workflows your customers already built for AWS S3 work seamlessly on Cloudian. Full S3 API compatibility means customers simply move in, which means faster time-to-revenue for you and smoother onboarding for them.
Cloudian HyperStore: NVIDIA-Certified Storage for AI Infrastructure
Many neoclouds operate within the NVIDIA Cloud Partner (NCP) ecosystem, where the storage layer beneath GPU infrastructure has to be validated against demanding performance and integration requirements. Cloudian HyperStore holds NVIDIA certification, confirming the platform meets those requirements for AI infrastructure. For a neocloud, that translates into a storage layer your GPU customers already recognize and trust — one less thing to prove in a technical evaluation.
Security and Compliance Certifications for Regulated AI Workloads
In regulated industries, your customers have to prove their infrastructure meets the bar — and your object storage is part of that proof. Cloudian HyperStore carries the certifications that make those conversations easy. FIPS 140-3 and FINRA/CFTC compliance meet financial-services record keeping and immutability requirements. S3 Object Lock and AES-256 encryption with KMIP key management keep customer data secure and auditable.
Deployment Flexibility: Storage Appliances or Hardware of Your Choice
Because HyperStore is software-defined object storage, you’re never locked into a single hardware path. For a margin-driven GPU cloud, that flexibility is a lever in its own right. Choose either Cloudian appliances or software-only solutions to meet your procurement and deployment objectives.
Either way, the software, the S3-native API, and the operational model stay identical. You optimize for simplicity or for cost, on your terms, workload by workload, without ever changing storage platforms.
FAQ: Object Storage for Neoclouds
What is the best object storage for AI workloads?
The right object storage for AI training and inference delivers high throughput to keep GPUs fed, scales to petabytes of datasets and model checkpoints, supports the S3 API natively, and holds cost per terabyte low enough to protect margin. Cloudian HyperStore is built to meet all four.
Is Cloudian S3-compatible with the AWS S3 API?
Cloudian HyperStore is S3-native, which goes beyond S3-compatible: applications, tools, and pipelines built for the AWS S3 API run without modification, making repatriation from AWS straightforward. The AWS S3 SDK is the Cloudian S3 SDK.
Does Cloudian have NVIDIA-certified storage?
Cloudian HyperStore holds NVIDIA-Certified Storage certification, validating that it meets NVIDIA’s performance and integration requirements for AI infrastructure.
Can I run Cloudian on my own hardware?
Yes. HyperStore is software-defined and runs on Cloudian appliances for a single-vendor solution or on industry-standard hardware of your choice, with an identical software and S3-native API experience either way.
See It Against Your Own Margin Model
Your GPUs are only as fast as your slowest storage node, and your margins are only as healthy as the object storage layer beneath them. Cloudian is designed to protect both.
Talk to a Cloudian neocloud storage specialist to learn how Cloudian can boost your bottom line while delivering the performance and scalability your customers need.
