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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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The price-performance cloud for serious AI and HPC workloads.
Run inference, GPU compute, storage, and private AI workloads on Hivenet infrastructure, with clear pricing and practical control over where work runs.
Teams already winning on Hivenet
Researchers, startups, studios, schools, and technical teams use Hivenet for GPU compute, AI workloads, and infrastructure that needs to stay fast, cost-aware, and easier to control.
Built for teams running AI, compute, and storage workloads across regions.
Research compute
GPU compute for enzyme research
Proteineer uses Jupyter notebooks and Hivenet GPUs to research green enzymes for industrial use. CEO Joseph Heenan says fast GPU access and reliable infrastructure across regions have helped the team speed up its research.
Based on Joseph Heenan’s testimonial · CEO, Proteineer
AI education
GPU compute for AI education
Mytutor uses Hivenet GPUs to run AI models for its work with students. CEO Artem Gorelov says the GPUs have helped the team scale its AI work while keeping student interactions fast and responsive.
Based on Artem Gorelov’s testimonial · CEO, Mytutor
AI agent development
Choosing compute for AI agents
In his Hivenet interview, ArtinLeap CEO Pablo Fernández describes using Compute for an AI agent prototype. The team could choose instance sizes to match the small or large language models it used.
Based on Pablo Fernández’s Hivenet interview · CEO, ArtinLeap
Start with the workload. Choose the right Hivenet path.
Every workload that's been quietly inflating your cloud bill — inference, model hosting, RAG, fine-tuning, GPU compute, storage, file movement — runs faster and far more cost-efficiently on Hivenet.
Inference API
Run open-source models without running the serving stack.
Use Hivenet Inference API for production AI workloads such as summarization, extraction, classification, support automation, code assistance, and RAG.
RAG
Connect models to your own data.
Build retrieval systems for internal knowledge, support, document workflows, and customer-facing assistants that actually know your business.
Agentic
Give your AI agents real tools.
Run agentic workflows with controlled execution, private data access, and infrastructure placement you actually decide.
GPU instances
Launch GPU capacity for AI, rendering, notebooks, and model work.
Use RTX 5090 instances for inference, model experiments, fine-tuning, ComfyUI, rendering, CUDA workflows, and GPU-heavy pipelines.
Explore GPU instancesCPU instances
CPU cloud servers from €0.035/hour.
Launch 2 to 32 vCPU for apps, APIs, CI/CD, data processing, and other general compute workloads.
Fine-tuning
Iterate faster, spend less doing it.
Run notebooks, LoRA or QLoRA jobs, model experiments, and adaptation workflows on GPU instances your team fully controls.
S3-compatible storage
Store datasets, backups, media, archives, and application data.
Use familiar tools such as boto3, aws-cli, rclone, and aws-sdk, with free egress under the current S3-compatible storage offer.
Network storage
Share data across teams, services, and workflows.
Use shared storage for teams and systems that need access to the same files or datasets.
HPC storage
Move large data through demanding pipelines.
Support research, rendering, AI datasets, simulations, and other pipelines where throughput and data movement affect the whole workload.
What are you trying to run? We'll get you there fast.
Cut my AI API bill
Run open-source models my way
Get GPU or CPU power on demand
Storage without the bill shock
Back up everyday files
Send a large file privately
Infrastructure you can trust to run enterprise-grade workloads.
Hivenet is built on a full-stack infrastructure model designed for performance, reliability, and practical sovereignty. The point is simple: give teams a cloud path they can trust, explain, and use for real AI, compute, and storage workloads.
Cloud services for AI, compute, storage, and file movement.
Hivenet turns the infrastructure stack into usable products: Compute with Hivenet, Hivenet Inference API, S3-compatible storage, Store with Hivenet, Send with Hivenet, and Private AI paths.
Modular infrastructure for trusted cloud capacity.
Policloud provides the infrastructure layer behind Hivenet’s enterprise-grade cloud services, helping match capacity, location, and workload needs without forcing every project through the default hyperscaler path.
The energy and site layer behind the infrastructure stack.
Data Factory supports the site and energy foundation behind the wider Antimatter infrastructure stack, helping place compute and storage capacity where it makes operational sense.
Move your most expensive workload first. Feel the efficiency.
Put the work where Hivenet wins outright: AI inference, private AI, RAG, fine-tuning, S3 storage, HPC storage, and general compute. Move the workloads that are bleeding the budget.
Production inference
Serve open-weight models for summarization, extraction, classification, support automation, code assistance, and RAG — at a cost per token that makes the switch obvious.
Private AI
Build AI on your most sensitive data with full control over model hosting, data placement, and the infrastructure path. Your data, your rules.
RAG
Build retrieval systems that connect private data, model serving, and controlled infrastructure paths.
HPC and data-heavy workloads
Run demanding pipelines on compute and storage built for performance, fast data movement, and cost you can see coming.
Object storage
Store datasets, backups, media, and application data with S3-compatible tools, free egress, and standard workflows such as boto3, aws-cli, and rclone.
General compute
Run APIs, background jobs, preprocessing, dev systems, CI/CD, and everyday cloud workloads on vCPU instances tuned for cost-efficiency.
Trusted infrastructure. Practical sovereignty.
Hivenet treats sovereignty as practical control over location, infrastructure path, access model, operational interface, and exit route. The value is knowing where your workload runs, how it is operated, which tools you can use, and how you can leave when your needs change.
Here is why you should trust usDeep-tech backed by INRIA
Hivenet-operated infrastructure
Built on Antimatter and Policloud infrastructure
Standard cloud tools and APIs
Regional deployment paths
99.5% availability
Your next workload belongs on Hivenet.
Pick one AI, compute, or storage workload and see the difference for yourself. Spin it up in minutes, or let our team map your fastest path to production.
AI inference
Open-source models
GPU/CPU compute
HPC workloads
S3-compatible storage
Fixed GPU pricing
Per-second compute billing
France, UAE, and USA deployment paths
