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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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Built to earn your trust. Proven to keep it.
Built for high-rate, performance-sensitive, and mission-critical workloads.
Hivenet runs workloads on enterprise-grade infrastructure, operated by Hivenet end-to-end, and proven by our benchmarks, our customers, and the choice of governments.
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 trust Hivenet with real workloads.
Researchers, AI builders, education teams, studios, and enterprises run their GPU compute, AI workloads, and infrastructure on Hivenet because it stays fast, stays cost-aware, and stays explainable.
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.
State-of-the-art research and development.
Hivenet's distributed architecture is developed through state-of-the-art research and development, anchored by a long-running partnership with INRIA, the French National Institute for Research in Digital Science and Technology.
Distributed cloud research with real technical depth
Hivenet develops its distributed architecture in a research partnership with INRIA.
Recognized as a deep-tech company
Hivenet holds the BPI France Deep Tech classification for its distributed cloud work.
9 PhDs
Researchers and PhDs contributing to Hivenet's distributed-systems work.
6 papers published
Peer-reviewed papers from the research partnership.
2 patents filed
Patents filed from the distributed cloud research.
Full stack, so you don't have to worry about anything.
Hivenet operates the full stack behind its products for AI, compute, storage, and file movement, so you get a clear line of sight between workload, performance, pricing, and region, and you do not have to manage the layers underneath. Enterprise-grade infrastructure, operated by Hivenet end-to-end.
Distributed Policlouds
Hivenet connects distributed infrastructure through its software layer, giving workloads a path to run closer to the right region, capacity, and cost profile.
Hivenet-operated capacity
Hivenet gives teams an infrastructure path outside the usual hyperscaler default for suitable workloads.
European-led software stack
The platform is built around practical control, standard interfaces, and infrastructure choices that customers can understand.
Research-backed design
Hivenet's distributed cloud work is supported by long-running research with INRIA.
Efficiency thanks to distributed architecture.
For storage workloads, Hivenet splits files into encrypted fragments and distributes them across nodes inside the chosen region. No single node holds a complete usable copy. Compute, Inference, and other products use their own operating models.
Encrypted before storage
Files are encrypted before they are distributed through the storage network.
Sharded across nodes
Files are split into fragments, so no single node holds a full usable copy.
Region-bound distribution
Storage fragments stay inside the selected region, making residency part of the architecture.
Designed for resilience
Fragments are replicated across nodes so data can remain available when individual nodes go offline.
Sovereignty you can trust.
At Hivenet, sovereignty means practical control over location, infrastructure path, access model, operational interface, and exit route. It shows up in where workloads run, which infrastructure path they use, how teams access them, which tools they can use, and how they can move if their needs change.
Location
Regional deployment paths
Use available regions across France, the UAE, and the USA.
Infrastructure path
Less dependence on default hyperscalers
Run suitable AI, compute, and storage workloads on Hivenet-operated infrastructure, supported by the wider Antimatter and Policloud infrastructure stack.
Access model
Clear ways to use each product
Use SSH for Compute, managed endpoints for Inference, and standard APIs for Storage.
Operational interface
API-ready automation
Use interfaces such as S3-compatible APIs, boto3, aws-cli, rclone, SSH, and documented APIs where supported.
Exit route
Control includes the ability to leave
Standard tools and interfaces make it easier to move data and workloads when your needs change.
Performance first. Pricing you can explain.
Hivenet is built for teams that need workloads to run well before they care about the architecture underneath. The trust test is simple: show what ran, where it ran, how it performed, and what it cost.
Benchmarked workloads
Results with the full context
Benchmark pages should show the workload, hardware, region, configuration, and pricing basis behind each result.
Fixed GPU pricing
Know the spend before you run
Published GPU rates and per-second billing help teams estimate compute spend before launching instances.
Workload fit
The right call before production
Hivenet helps teams match the workload to the right path: raw Compute, managed Inference, Private AI, or Storage.
Operational support
A real path for serious deployments
Teams with larger or production workloads can work with Hivenet on architecture, migration, and fit.
Efficient infrastructure is easier to justify.
Cost-performance and sustainability point in the same direction: less waste, better use of available capacity, and fewer unnecessary infrastructure layers.
77% greener
Hivenet's distributed model compared with the centralized-cloud baseline used in the current sustainability analysis.
Zero water cooling
No dedicated water-cooling infrastructure for the distributed model described in the green white paper.
30% less energy in daily operations
Estimated reduction in operational energy use compared with the centralized-cloud baseline used in Hivenet's sustainability analysis.
Signals you can check.
Peer-reviewed papers
6 peer-reviewed papers from the INRIA research partnership.
Filed patents
2 patents filed from Hivenet's distributed cloud research.
Media references
Coverage of Hivenet's distributed cloud work and milestones.
Classified as Deep Tech by BPI France.
Top 10
Named one of the 10 Most Innovative Swiss Startups 2024.
Distributed cloud research with one of France's leading public research institutes.
Founding team
David Gurlé
Founder & CTO/CPO
David founded Symphony, a secure, encrypted communications platform for financial firms, and previously held senior leadership roles at Skype’s business unit. That background matters for a cloud company built around performance, sovereignty, and infrastructure that customers can explain.
Featured in
FAQ
Common trust questions
Bring us the workload.
We'll bring the proof.
See the benchmarks, the pricing, the sovereignty controls, and the research, then talk to Hivenet about the right path for your AI, compute, or storage workload.
