Compute
Storage
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Workloads
Why Hivenet
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Access your files and manage your storage account.
Store
Access your files and manage your storage account.
Compute
Launch instances and manage your compute resources.
Store and Compute still use separate accounts today. We’re working on a unified sign-in.
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Choose what you want to use first.
Store
Back up photos and files across your devices.
Compute
Launch self-serve GPU compute for demanding work.
Store and Compute still use separate accounts today. We’re working on a unified account experience.
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Contact Hivenet
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General contact
Questions, support, partnerships, press, or anything else not tied to a sales conversation.
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Ask about Compute, storage, private AI, or a larger business deployment.
Need help with setup, billing, or troubleshooting? Start with Support for the fastest answer.
Storage
Unbeatable performance, resilience, and durability for every kind of storage.
Hivenet's storage products are built on a distributed architecture for performance, resilience, and durability, across S3-compatible object storage for business data, fast storage for active compute workloads, high-performance storage for data-heavy pipelines, and simple file storage and transfer for everyday use.
Distributed architecture
1 million+ users
S3-compatible storage
Free egress for S3
Fast storage
AI datasets
Backups and archives
France, UAE, and US deployment paths
Trusted with the data of more than a million users.
From individuals backing up photos to research teams and businesses running data-heavy pipelines, more than a million users trust Hivenet storage to keep their data fast, resilient, and under their control.
Hivenet makes our work much easier. With Jupyter notebooks, fast access to GPUs, and reliable infrastructure across regions, we’ve been able to speed up our research on green enzymes for industrial use. It feels like a real step forward in compute platforms.
Jupyter notebooks, fast GPU access, green enzymes research.
The possibility of easily obtaining instances with graphics cards for a really cheap price. I use it a few times a month and it's really perfect.
What we like about Hivenet is that it matches how we think about AI: sustainable, efficient, and grounded in Europe. The distributed model gives us security, the option to choose European models strengthens our sovereignty message, and small details like pausing instances or fair pricing just make it practical for us to use day to day.
Sustainable, European, sovereignty, fair pricing.
We've moved over from AWS and GCP to hive. It's a great way to save on costs.
Hivenet’s GPUs have been key to scaling our AI work. They let us run advanced models smoothly, so our interactions with students stay fast and responsive. That reliability has made a real difference for us.
GPU reliability for scaling AI work with students.
Super quick setup. No BS/straightforward pricing. Fast cold starts. Reliable machines.
Distributed architecture is the difference.
Most cloud storage sits in one centralized location. Hivenet storage is distributed: data is encrypted, split into fragments, and spread across multiple nodes inside your chosen region, so no single node holds a complete usable copy. That is the technology. Here is what it buys you.
Performance
Distributing reads and writes across nodes removes the single-location bottleneck, so storage keeps up with demanding pipelines and active workloads.
Resilience
With data fragmented and spread across nodes, no single point of failure can take your data down. Redundancy is built into the architecture, not bolted on.
Durability
Fragmentation and distribution mean your data survives node-level problems, so it stays intact and available over the long term.
Control
Fragments stay inside the region you choose, on infrastructure operated by Hivenet end-to-end, with standard tools and a real exit path.
Start with what you need to store. We'll point you in the right direction.
Storage needs are not all the same. A backup archive, an AI dataset, a database volume, a shared project folder, and a one-off file transfer each want a different storage path.
Object storage
I need S3-compatible storage for data, backups, or applications.
Use S3-compatible storage for datasets, media, archives, backups, application files, and AI pipeline artifacts.
Fast storage
I need storage attached to a running workload.
Use block storage when an application, database, notebook, or model-serving setup needs fast, persistent storage close to compute.
Shared storage
I need multiple systems or teammates to access the same data.
Use network storage when teams, services, or workloads need shared access to the same files or datasets.
Data-heavy pipelines
I need storage for HPC, research, rendering, or AI pipelines.
Use HPC storage paths for workloads where throughput, scale, and data movement matter.
Everyday files
I need cloud storage for personal files and photo backup.
Use Store with Hivenet for photos, everyday folders, online-only files, and cross-device access.
File transfer
I need to send large files.
Use Send with Hivenet for secure link-based file transfer without asking recipients to create an account.
Business storage built for predictable cost and real control.
S3-compatible storage
Object storage with familiar tools and free egress.
Store datasets, backups, media, archives, application data, and AI pipeline files with S3-compatible APIs and standard tools such as boto3, aws-cli, rclone, and aws-sdk.
From €6/TB/month
Free egress
S3-compatible APIs
Migration support
Block storage
Fast, persistent storage for active compute workloads.
Attach storage to compute environments that need fast, persistent data close to the running workload, such as databases, notebooks, model-serving systems, and stateful applications.
Network storage
Shared storage for teams, services, and workflows.
Use shared storage when multiple users, services, or workloads need access to the same files or datasets without creating storage islands.
HPC storage
Storage for data-heavy technical pipelines.
Support research, rendering, AI datasets, simulations, and other workloads where storage performance and data movement affect the whole pipeline.
Everyday file storage and transfer.
Store with Hivenet
Cloud storage and photo backup.
Back up photos, store everyday files, free up space with online-only files, and access documents across devices.
10GB free
Photo backup
Online-only files
No AI training on your data
Send with Hivenet
Large file transfer by link.
Upload files, create a secure link, and share it with anyone. Recipients can download without creating an account.
Up to 4GB free on Chrome and Edge desktop
7-day expiry
No recipient account needed
Your data is safe, secure, and yours.
Storage needs are not all the same. A backup archive, an AI dataset, a database volume, a shared project folder, and a one-off file transfer each want a different storage path.
Encrypted and fragmented
Data is encrypted and split into fragments, so no single node holds a complete usable copy.
Distributed for resilience
Fragments are spread across multiple nodes inside your chosen region, with redundancy built into the architecture so there is no single point of failure.
Stays in your region
Choose available deployment paths across France, the UAE, and the US. Your data stays where you put it, on Hivenet-operated infrastructure end-to-end.
Yours to leave with
Standard tools such as S3-compatible APIs, boto3, aws-cli, and rclone keep migration and portability practical, so control includes a real exit path.
Keep your data right next to the workload.
AI and compute workloads need more than a GPU. They need datasets, documents, model inputs, outputs, checkpoints, archives, and repeatable access patterns.
Datasets and model inputs
Use S3-compatible storage for training data, inference inputs, generated outputs, and pipeline artifacts.
RAG documents and knowledge bases
Store documents, PDFs, records, and retrieval material for RAG workflows and private AI projects.
Notebooks and model experiments
Use storage paths with Compute when notebooks, experiments, or model-serving setups need persistent data.
Private AI workloads
Use storage, inference, and compute together when AI work involves sensitive or business-critical data.
Performance, cost visibility, and control you can explain.
Hivenet storage paths are designed to cut hidden cost, keep tooling familiar, and give teams a clearer infrastructure path for data-heavy work.
Clearer storage economics
Use storage paths designed around predictable pricing, with free egress where specified.
Familiar tools
Keep standard workflows such as S3-compatible APIs, boto3, aws-cli, rclone, and application-level object storage.
Regional control
Choose available deployment paths across France, the UAE, and the US depending on the product and workload.
Enterprise-grade infrastructure
Run suitable storage workloads on enterprise-grade infrastructure operated by Hivenet end-to-end, rather than defaulting to hyperscaler-hosted storage.
Exit path
Standard interfaces help keep migration and portability practical when your needs change.
Which storage path should you choose?
Object storage with S3 tools
Datasets, backups, media, application data, AI pipeline files
Persistent storage for active workloads
Datasets, backups, media, application data, AI pipeline files
Shared access across systems
Shared datasets, team workflows, media pipelines
Data-heavy technical pipelines
Research, rendering, simulations, AI datasets
Everyday file storage
Photos, personal files, online-only files, cross-device access
Large file transfer
One-off delivery, client files, transfer links
FAQ
Common storage questions
Find the right storage path for your workload.
Bring your storage footprint, current provider, egress needs, tools, data type, and region requirements. We'll route you to the right Hivenet storage option.
