Compute with Hivenet

RTX 4090 from €0.20/h. RTX 5090 from €0.40/h. Per-second billing. Network traffic included.

Self-serve GPU compute. Sovereign by architecture. Available in France, UAE, and USA.

RTX 4090 from €0.20/h

RTX 5090 from €0.40/h

Per-second billing

No egress fees

Try Compute

Who runs on Compute with Hivenet

Researchers, startups, studios, and enterprise teams run production workloads on this infrastructure. Not a sandbox.

Who uses Compute.

Used by independent builders, researchers, students, creators, and teams testing ideas before they become larger deployments.

Jupyter notebooks, fast GPU access, green enzymes research.

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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.

Joseph Heenan

CEO @ Proteineer

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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.

Nicolas B

CEO small business

Sustainable, European, sovereignty, fair pricing.

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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.

Pablo Fernández

CEO @ Proteineer

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We've moved over from AWS and GCP to hive. It's a great way to save on costs.

Sam Arrington

GPU reliability for scaling AI work with students.

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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.

Artem Gorelov

CEO @ Mytutor

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Super quick setup. No BS/straightforward pricing. Fast cold starts. Reliable machines.

Anonymous

What you can do with it.

Training and fine-tuning

Train on 4090 and 5090 instances. Reusable environments. Per-second billing. Your training data stays on your infrastructure.

Rendering and creative work

Blender, video encoding, upscaling. Dedicated GPU instances. Not queued. Not shared.

Research and experiments

Simulations and notebooks. On-demand. No minimum commitment.

Inference

Run local models at 737 tokens/s (RTX 4090) or 45.4ms TTFT (RTX 5090). Private. No third-party API calls.

Get started fast.

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Managed vLLM

Deploy an OpenAI-compatible inference endpoint without building the serving layer yourself.

Ready templates

Ubuntu, PyTorch, and Jupyter Notebook. Pre-configured. Start in under 60 seconds.

Custom templates

Save your setup. Reuse it.

Currently on RunPod or Google Colab?

Bring your setup. Same tools. European infrastructure. Lower cost.

Explore Compute

Per-second billing. No egress fees. Storage included.

RTX 5090

0.40 - 3.20 /h

1 × - 8 ×

VRAM 32 - 256 GB

RAM 73 - 584 GB

CPU- 64

Disk space 250 - 2000 GB

Bandwidth 1000 Mb/s

RTX 4090

0.20 - 1.60 /h

1 × - 8 ×

VRAM 24 - 192 GB

RAM 48 - 384 GB

CPU- 64

Disk space 250 - 2000 GB

Bandwidth 125 - 1000 Mb/s

vCPU

0.035 - 0.56 /h

2 × - 32 ×

RAM- 64 GB

Disk space 50 - 800 GB

Bandwidth 250 - 1000 Mb/s

Start now. No approval process.

No sales call required. Credit card is all you need.

Your GPU instances run on distributed infrastructure

No legal pathway for foreign government data requests.

77% greener than centralized cloud.

No offsets.

See what's behind the platform

Need Compute for a team?

If you need regional deployment, private AI, procurement support, or a larger rollout, explore Compute for business.

Compute for business

PoliCloud + Hivenet

30% Off Hivenet Plans!

PoliCloud, powered by Hivenet’s technology, is redefining sovereign cloud storage. To celebrate our partnership, we’re offering 30% off all Hivenet plans—for a limited time!

*Offer ends March 31, 2025. Don't miss out!

Read our Terms & Conditions