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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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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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Questions, support, partnerships, press, or anything else not tied to a sales conversation.
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The unmatched price-performance cloud for serious AI and HPC workloads.
Run AI workloads faster without burning through your cloud budget.
AI inference, GPU compute, and storage infrastructure for production workloads.
The price-performance cloud for serious AI and HPC workloads.
Run AI inference, open-source and open-weight models, GPU and CPU compute, S3-compatible storage, and private AI workloads on Hivenet infrastructure, with clear pricing, benchmarked performance, and practical sovereignty across available regions.
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
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.
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.
42% lower monthly GPU spend
European AI startup · moved repeat inference experiments from oversized GPU instances to right-sized RTX 4090 and RTX 5090 workloads on Compute with Hivenet.
3.1× faster research iteration
Applied research team · used GPU notebooks and reusable templates to shorten model experiment setup from hours to minutes.
€18k annual savings
Media operations team · moved archive and dataset storage to S3-compatible storage with free egress and standard tools.
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 4090 or RTX 5090 instances for inference, model experiments, fine-tuning, ComfyUI, rendering, CUDA workflows, and GPU-heavy pipelines.
Explore ComputevCPU instances
Run general cloud workloads without GPU cost.
Use CPU-only instances for APIs, development environments, testing databases, preprocessing, CI/CD, batch jobs, and background services.
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.
S3 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.
