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Project Hugin
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Distributed GPU Sharing for Sustainable AI Training

Unify heterogeneous GPUs (2GB–32GB+) into a single compute pool. Train AI models at lower cost with measurable sustainability impact.

Start Training →Share Your GPU

Why Choose Hugin?

One network to train your AI — cheaper, private, and built for the physical world.

🔒

Private by design

You choose the protection level on every job: Shield+ keeps your data encrypted and split so no machine ever sees the whole — or Vault runs on sealed hardware no one else can read.

Built for Physical AI

More than fine-tuning. Hugin Learning trains robot, drone and automation control from scratch — our own breakthrough, for the problems others can’t train.

Verified & reliable

Every result is independently re-checked, and a slow or dropped machine never stalls your job. You get a model you can trust — completely hands-off.

What you can build

Built for real AI projects

Bring your data, train production-ready models across the network, then download and use them anywhere.

Custom language models

Fine-tune open models (LLaMA, Mistral, Phi, Gemma, Qwen) on your own data with LoRA & QLoRA.

Chatbots · Assistants · Code · Multilingual

Computer vision models

Train image classification & object-detection models on your own images, then download the trained model.

Quality control · Drones · Cameras · Inspection

Robotics & automation

Build perception models and prepare data — augmentation, validation and benchmarking for robotics teams.

Perception · Dataset prep · Model evaluation

Hugin Learning

Train control policies for robots and agents — the system discovers behaviour from scratch by trial-and-error, no labelled data needed.

Robots · Control · Agents · Automation
Start building →

How Hugin Works

Six-step pipeline from job definition to verified delivery with transparent billing.

Job Definition

Data classification, target metric, and pool selection.

Cost Estimate

HU & GPU-seconds estimate with upper bound and SLA.

Sharding & Scheduling

Capability-aware distribution, node selection, redundant execution.

Execution

Sandboxed micro-shard execution with telemetry, health checks, auto-retry.

Aggregation & Verification

Quality threshold, spot-check, and anomaly detection validation.

Billing & Payment

Verified job billing, automatic GPU owner payout.

The journey

From your data to your trained model

You upload, we take care of everything, and your finished model is ready to download.

Upload your data
Secure & private
We prepare it
Fully automatic
Trained across our network
Powered at scale
Turned into your model
Brought together
Download the result
Ready to use
Our breakthrough

Hugin Learning

Our own innovation: control intelligence that learns from scratch — by trial-and-error, with no labelled data — trained and verified across the network. Built for robots, drones and automation.

Learns from zero

Discovers the right behaviour by trial-and-error — no demonstrations or labelled data required.

Built for Physical AI

Balancing, positioning, navigation and your own custom tasks — the brain that runs robots, drones and automated lines.

Distributed & verified

Trained across the network and independently re-checked, so the result can be trusted.

Try Hugin Learning →
⬡ Engineered by Hugin

Your data, protected by design

Most GPU networks ship your raw data to strangers' machines. Hugin doesn't. Every job runs under Hugin Shield+ — a multi-layer protection stack we built — or, for the most sensitive work, inside a hardware-isolated Vault.

🛡️ Hugin Shield+
Included on every job

Protection is built in on every job — at no extra cost. Your data stays private, safe, and completely yours.

  • 🔒Private by default — protected automatically the moment you upload
  • 🙈Yours alone — no one ever sees your full data
  • 🤝Trusted partners only — your work runs on verified, reliable machines
  • 😌Total peace of mind — no setup, no risk, no surprises
🔒 Hugin Vault
Maximum confidentiality

Maximum confidentiality. Your data stays invisible — even to the computer that trains it.

  • 🧠Sealed private space — your data is only opened inside a protected area
  • 🙈Invisible to the owner — the machine’s owner can never see it
  • 📜Proven genuine — every machine is verified before it touches your data
  • 🏥For your most sensitive data — health, finance & personal records

You choose the protection level per job — Shield+ is included at the standard rate; Vault adds hardware isolation for the most sensitive data.

Transparent HU-Based Pricing

HU (Hugin Unit) is your simple billing unit. 1 HU ≈ 3,600 normalized GPU-seconds. Pre-estimate and upper bound before every job.

0.21EUR / HU
Transparent Pricing for Training
  • ✓ More iterations with same budget
  • ✓ Transparent HU + GPU-seconds billing
  • ✓ Pre-estimate & upper bound guaranteed
  • ✓ Community, Verified, or Dedicated pools
  • ✓ ESG reporting: kWh/HU & CO₂e/HU
Start Training Now
Share Your Compute
Turn idle devices into passive value. Hugin network harnesses compute power from any connected device globally.
  • 📱 Smartphones (Browser or App)
  • 🚗 Electric Vehicles (EV Compute)
  • 🌐 Any Web Browser Tab
  • 💻 Desktop & Server GPUs
Join the Network

HU Rate by Device Class

Device Class~HU/HourExamples
Smartphones (Idle)0.05 - 0.15iPhone 15 Pro, Pixel 8
Electric Vehicles (EV)0.2 - 0.4Tesla MCU, Polestar 2
4-6GB Consumer0.4 - 0.6GTX 1650, RTX 3050
8-12GB Consumer0.6 - 0.9RTX 3060, RTX 4070
16-24GB Workstation1.6 - 2.8RTX 3090, RTX 4090
24-48GB+ Datacenter2.8 - 4.5A100, H100

Frequently Asked Questions

Everything you need to know about training AI models on Huginn.

What is Project Huginn?+
Project Huginn is a distributed GPU sharing platform that lets you train and fine-tune AI models at up to 50% lower cost than traditional cloud providers. It pools heterogeneous GPUs (from RTX 3080 to H100) into a unified compute grid. Built by SMware ApS, a Startup Denmark approved company.
How much does it cost to train an AI model on Huginn?+
Huginn uses Hugin Units (HU) for billing. 1 HU = €0.21. A typical LoRA fine-tuning of a 7B model with 1,000 training examples costs approximately 5-8 HU (€1-2). Costs are estimated before you start, with an upper bound guarantee — no surprise charges.
What AI models can I fine-tune?+
Huginn provides 7 base models for free: LLaMA 3.1 (8B & 70B), Mistral 7B, Phi-3 Mini 3.8B, CodeLlama 7B, Gemma 2 9B, and Qwen 2.5 7B. You select a base model and upload your own training data — Huginn handles the rest.
What training methods does Huginn support?+
Three methods: LoRA (Low-Rank Adaptation) for fast, efficient training with ~12GB VRAM; QLoRA (4-bit quantized) for even lower memory usage with ~8GB VRAM; and Full Fine-Tune for highest quality with ~40GB+ VRAM. LoRA with rank 16 is recommended for most use cases.
What data formats are supported for training?+
JSONL (Alpaca format with instruction/input/output fields), CSV (with instruction, input, output columns), and Chat Format JSONL (with messages array). Maximum upload size is 500MB. We recommend at least 1,000 examples for good results.
How is Huginn different from other GPU cloud platforms?+
Unlike traditional GPU rental platforms that only offer raw compute, Huginn provides an all-in-one AI training experience. You get a built-in Model Studio with 7 free base models, an integrated fine-tuning pipeline, automatic cost estimation with upper bounds, and a ChatGPT-style playground to test your model instantly — no setup, no configuration, just upload your data and start training.
Can I earn money by sharing my device?+
Yes! Huginn lets you earn from virtually any device. Share your desktop GPU, laptop, tablet, smartphone, or even your electric vehicle's compute power while you drive. Connect via the Huginn Agent app or simply open a browser tab. Every connected device contributes to the network and earns you HU. Desktop GPUs earn the most (up to €0.60/hour for high-end cards), but even a smartphone or browser tab generates passive income 24/7.
How do I share my GPU and start earning?+
It takes under 5 minutes: 1) Sign in with Google and choose GPU Owner role, 2) Go to GPU Agent page in your dashboard, 3) Download the agent file and generate a token, 4) Run the command in your terminal. The agent auto-detects your GPU and starts processing jobs. You can also use the browser-based Web Engine with zero downloads. Read our full guide at projecthuginn.com/how-to-share for step-by-step instructions.
Is my training data secure?+
Yes. All training jobs run in sandboxed environments with complete data isolation. Each user's models and datasets are private. We use session-based authentication and encrypted connections for all data transfers.
Can I download my trained model?+
Yes. After training completes, you can download your fine-tuned model in .safetensors format. You can run it locally with Ollama, llama.cpp, vLLM, or HuggingFace Transformers. You can also keep it on Huginn and test it via the built-in playground.
What GPU tiers are available?+
Five tiers: T1 (H100/A100 80GB+, 4.50 HU/hr), T2 (A100 40GB/RTX 4090, 2.80 HU/hr), T3 (RTX 4080/3090, 1.60 HU/hr), T4 (RTX 3080/2080 Ti, 0.90 HU/hr), and T5 (entry-level, 0.40 HU/hr). Higher tiers are faster but cost more per hour.