We just put together a comparison of dedicated GPU server providers for 2026. If you're working on LLM training or high-volume inference, you know that egress fees and virtualization overhead can kill a project's viability.
We broke down 5 major providers (LEO Servers, OVH, Hetzner, etc.) based on:
MIG (Multi-Instance GPU) support
Network interconnects (NVLink/NVSwitch)
Root access/Kernel customization
Here is the tl;dr:
LEO Servers: Good for unmetered bandwidth and custom setups.
OVH: Good for compliance/SLA.
Hetzner: Good entry-level pricing.
If you are trying to decide between buying hardware or renting dedicated, this guide might help clarify the specs you actually need.
Read the full technical breakdown here:
[https://www.leoservers.com/blogs/5-dedicated-gpu-server-providers-2026/]
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