If you've used cloud computing on AWS or Google Cloud, you already know the pain:
High hourly costs
Complicated setup
Surprise fees for data transfer
Compute flips that model on its head.
We make it easier and more affordable to run powerful workloads—especially those that rely on GPUs.
Here’s a side-by-side look:
🖥️ Small Instance Comparison
| Hivenet | Google Cloud | AWS |
Machine | Extra Small | a2-highgpu-1g | p3.2xlarge |
GPU Spec | 1× RTX 4090 (24 GB) | 1× A100 (40 GB) | 1× Tesla V100 |
Cost/Hour | €1.20 | ~€3.40* | ~€3.42* |
| (≈ 65% less) |
|
|
💪 Large Instance Comparison
| Hivenet | Google Cloud | AWS |
Machine | Large | a2-ultragpu-8g | p4d.24xlarge |
GPU Spec | 8× RTX 4090 (24 GB) | 8× A100 (80 GB) | 8× A100 (80 GB) |
Cost/Hour | €9.60 | ~€40.48* | ~€32.70* |
| (≈ 70% less) |
|
|
*Pricing based on public listings as of Q1 2025
Why the difference?
Cloud hyperscalers use enterprise-grade GPUs (A100s, V100s), which are powerful—but expensive and often overkill for smaller workloads. Hivenet taps into consumer-grade RTX 4090s, which offer outstanding performance at a fraction of the cost.
You're not paying for their overhead. You're just paying for what you compute.
Bonus: No surprise charges
With Compute, you get:
Transparent hourly pricing
No extra fees for uploading or downloading data
No fine print
You launch, you compute, you’re done.
Next