Hivenet GPU instances pair NVIDIA cards with a fixed amount of vCPU, ECC RAM, and disk so you can launch fast without tuning every knob.Documentation Index
Fetch the complete documentation index at: https://docs.hivenet.com/llms.txt
Use this file to discover all available pages before exploring further.
Available GPU families
- NVIDIA RTX 4090 — 24 GB of GDDR6X memory per GPU
- NVIDIA RTX 5090 — 32 GB of GDDR7 per GPU
“RAM” in the tables refers to system memory (ECC).
Sizes and specs
| Size | GPUs | vCPU | RAM (ECC) | Disk space | Bandwidth |
|---|---|---|---|---|---|
| X-Small | 1 × RTX 4090 / 5090 | 8 | 48 GB | 250 GB | 1 Gb/s |
| Small | 2 × RTX 4090 / 5090 | 16 | 96 GB | 500 GB | 1 Gb/s |
| Medium | 4 × RTX 4090 / 5090 | 32 | 192 GB | 1 TB | 1 Gb/s |
| Large | 8 × RTX 4090 / 5090 | 64 | 384 GB | 2 TB | 1 Gb/s |
Quick tips
- VRAM vs RAM: VRAM affects maximum model size per GPU; system RAM supports your runtime and dataset loaders.
- Throughput: Scale from 1 → 8 GPUs for higher parallelism.
- CPU host: Nodes use AMD EPYC 7713 processors.