
Hivenet uses distributed infrastructure instead of relying only on large centralized data centers. That shapes how we approach energy use, hardware, and efficiency across storage, file transfer, and compute.
Numbers only mean something when the assumptions behind them are clear. Scope, baseline, network conditions, and product type all affect the result.
That is why methodology matters as much as the headline. For the full model, sources, and boundaries, read the white paper on Store with Hivenet.

Environmental impact does not come from one factor alone. It is shaped by infrastructure, hardware, energy, and operational choices.
Using available capacity can reduce the need for new dedicated equipment and the footprint that comes with it.
A distributed model has a different operating profile from fully centralized, always-on infrastructure.
Durability still requires redundancy, monitoring, and upkeep. Efficiency comes from design choices, not shortcuts.
Environmental impact also depends on where electricity comes from and how infrastructure is placed and managed.
Numbers only mean something when the assumptions behind them are clear. Scope, comparison baseline, network conditions, and product type all affect the result.
That is why methodology matters as much as the headline. If you want the full model, sources, and boundaries, read the white paper about Store with Hivenet.
The comparison depends on the baseline and the product or infrastructure model being measured.
Results depend on the scope of the analysis, including infrastructure, operations, and energy assumptions.
Not necessarily. Impact varies by product and usage pattern.
Read the white paper for the model, assumptions, and limits.
For Hivenet, sustainability sits alongside control, reliability, and service design. The goal is to build products that are useful in practice and more efficient by design.

RTX 4090 and RTX 5090 instances for AI inference, training, rendering, and scientific workloads. Per-second billing. Self-serve or managed. Regions: France, UAE, USA.

vCPUs and virtual machines for batch processing, containers, and blockchain workloads. Per-second billing from €0.035/h. No GPU required.

S3-compatible object storage, file storage, and NVMe — on distributed infrastructure in France, UAE, and USA. No egress fees. Encrypted by default. Data residency enforced by architecture.



