GPU dedicated servers for AI training, rendering and CUDA workloads - NVIDIA L4, L40 and H100 tiers.
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GPU dedicated servers target CUDA workloads: AI/ML model training, 3D rendering (Blender, Octane, Redshift), heavy video transcoding (NVENC), scientific simulation. Common tiers: NVIDIA L4 (entry, ~150 €/month), L40/L40S (mid, ~400-700 €), A100 (high-end, 1500 €+) and H100 (frontier, quote-on-demand). Verify supported CUDA version and drivers. Best providers: OVHcloud, Scaleway, Hetzner GEX44, RunPod, Vast.ai.
Bare-metal is a single physical machine with full hardware access. Dedicated cloud stays virtualised but with pinned CPU cores and reserved RAM. Bare-metal is faster and more predictable, dedicated cloud more flexible (snapshots, scaling).
EPYC shines on parallel workloads (containers, distributed databases) with more cores per euro. Xeon is still preferred for application compatibility and some high-clock workloads. Benchmark your specific workload.
1 Gbps unmetered suits most web workloads. For streaming, CDN or heavy backups, aim for 10 Gbps. Also check uplink quality (Tier 1 transit vs IX peering).
