Bare Metal GPU Infrastructure for AI & Machine Learning
Dedicated servers for LLM inference, fine-tuning, RAG pipelines, AI agents, and distributed training.
No shared resources and no virtualisation layer.
Full GPU output, every run.
Built for the workloads that break on shared cloud
Full GPU, No Contention
Dedicated bare metal means no competing tenants on your hardware. Consistent throughput for inference and training workloads at any scale.
VRAM That Matches Your Model
From 32 GB to 96 GB per GPU, up to 768 GB total on a single server. Run large models without slot limits or memory offloading.
Transparent, Predictable Pricing
No egress fees and no hidden infrastructure costs. Fixed per-GPU-hour rates on 36, 48 and 60-month terms.
The infrastructure layer your AI stack depends on
Most AI infrastructure problems aren't model problems.
They're infrastructure problems.Shared GPU cloud introduces latency variance, VRAM constraints, and throughput degradation under load, because the hardware is shared with tenants you don't control.
1Legion bare metal removes that variable. You get the full server, dedicated hardware, direct access, consistent performance from the first request to the ten-thousandth.
Whether you're serving LLM inference at scale, running fine-tuning pipelines, building RAG systems, or deploying private AI infrastructure, the hardware performs the same way every time.
Ready to run your AI workload on dedicated bare metal?
Tell us about your pipeline. Our team will match you with the right server configuration.
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