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

200

Active Nodes

Active Users

12.4 PF

Compute Power

Why Choose Hugin?

Democratizing AI infrastructure with a community-powered compute grid.

💸

Cost Efficiency

Access GPU compute at 30-50% lower cost than centralized cloud providers. Our distributed network eliminates data center overhead, passing savings directly to you.

⚡

Faster Iteration

No more waiting in queues for H100s. Launch jobs instantly across thousands of consumer and pro-sumer GPUs perfectly suited for fine-tuning and inference.

📈

Flexible Scaling

From single-GPU prototypes to multi-shard distributed training. Seamlessly scale your workload across a heterogeneous grid of NVIDIA, AMD, and Intel hardware.

How Hugin Works

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

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Job Definition

Data classification, target metric, and pool selection.

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Cost Estimate

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

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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.

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Billing & Payment

Verified job billing, automatic GPU owner payout.

Trusted Pools

Choose the right trust level for your workload — from open community to dedicated enterprise capacity.

Community

Best-effort execution for non-sensitive workloads. Open participation from all verified node agents.

✓ Open to all GPU owners
✓ Best-effort SLA
✓ Public/non-sensitive data only
✓ Lowest cost tier

Verified

KYC/KYB verified nodes with policy enforcement, optional EU/EEA geo-restrictions, and secure boot signals.

✓ KYC & KYB verified
✓ Policy enforcement
✓ EU/EEA geo-restriction
✓ Secure boot & TPM
✓ Higher completion targets

Dedicated

Customer-reserved capacity with custom policies. Maximum predictability and control for enterprise workloads.

✓ Reserved capacity
✓ Custom policies
✓ Highest predictability
✓ Customer-specific allowlist
✓ Enterprise SLA

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

Owner Payout Rate: 1 HU = €0.153 net · 73% owner share · ~20% above RunPod / Vast.ai

Device Class	~HU/Hour	Examples
Smartphones (Idle)	0.05 - 0.15	iPhone 15 Pro, Pixel 8
Electric Vehicles (EV)	0.2 - 0.4	Tesla MCU, Polestar 2
4-6GB Consumer	0.4 - 0.6	GTX 1650, RTX 3050
8-12GB Consumer	0.6 - 0.9	RTX 3060, RTX 4070
16-24GB Workstation	1.6 - 2.8	RTX 3090, RTX 4090
24-48GB+ Datacenter	2.8 - 4.5	A100, H100