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Define your infrastructure requirements
Select your workload type and configure key parameters such as compute (CPU/GPU), memory, storage, and scaling needs.

We are a Managed Service Provider (MSP) and Colocation Operator.

Hydrocompute 1
Boden, Norrbotten, Sweden
99.85% uptime
900 sqm
Parcel
300 sqm
Footprint
300 kW
EL capacity
40
Racks

Hydrocompute 2
Boden, Norrbotten, Sweden
99.85% uptime
900 sqm
Parcel
3300 sqm
Footprint
8 MW
EL capacity
240+
Racks

Hydrocompute 3
Boden, Norrbotten, Sweden
99.85% uptime
6000 sqm
Parcel
4800 sqm
Footprint
12 MW
EL capacity
300+
Racks
Your systems stay online, secure, and resilient.

Deploy trained models as APIs for your application. Best for production inference at scale.

Fine-tune or train new models on your data. Requires high throughput storage and networks.

Mixed workloads with model training and production inference on the same cluster.

Flexible pricing policy that supports any future use-backend recommended plan uses case, still being defined.

Select your workload type and configure key parameters such as compute (CPU/GPU), memory, storage, and scaling needs.

The planner calculates the optimal infrastructure setup based on your inputs, balancing performance, scalability, and efficiency.

Review options, optimize for cost or performance, and deploy in a fully managed environment.
Design your ideal infrastructure in minutes using our interactive planner - built for AI workloads, enterprise applications, and high-performance systems
Plan GPU / CPU infrastructure
Estimate capacity and scaling needs
Explore optimized deployment scenarios
Model cost vs performance
Most providers give you space or compute.