Bare metal GPU dedicated server hosting for AI training, deep learning, HPC, and 3D rendering. Full NVIDIA RTX and A100 hardware, CUDA-ready from first boot, 100% dedicated GPU resources, root access, and a 100% uptime SLA. No vGPU slicing, no shared tenants.
Bare metal dedicated GPU servers with 100% physical NVIDIA hardware. Every plan includes KVM over IP, free DDoS protection, 24/7 on-site engineers, and a 100% uptime SLA. Need a custom GPU server build? Contact our sales team.
Rapid Deploy Server - AMD Ryzen 5800X GPU
Pre-Order - AMD Epyc 4545P 256GB
Pre-Order - AMD Ryzen 9950X 256GB
Rapid Deploy Server - AMD Ryzen 7900 GPU
nVidia A10 GPU
NVIDIA A100 SXM · Ampere · AI
From AI researchers to game developers. our bare metal GPU servers handle the most demanding compute tasks.
Train transformer models, fine-tune LLMs, run diffusion models, or develop computer vision pipelines. NVIDIA A100 and RTX 4090 provide CUDA cores and large VRAM for serious AI workloads.
PyTorch, TensorFlow, JAX. install any ML framework on a bare metal GPU server with full root access. No container limitations, no shared GPU time, no throttling.
Blender, Cinema 4D, Unreal Engine. render complex scenes at production quality. Large VRAM (24GB–80GB) handles high-poly scenes, 8K textures, and ray-traced lighting.
Monte Carlo simulations, molecular dynamics, climate modeling. thousands of CUDA cores and fast NVMe storage accelerate data-parallel computation.
Build and test GPU-intensive games on real hardware. Validate ray tracing, physics simulations, and shader performance on actual RTX hardware before shipping.
NVENC hardware encoding delivers dramatically faster H.264/H.265/AV1 encoding versus CPU-only solutions. ideal for live streaming infrastructure and video production pipelines.
Every dedicated GPU server ships with these features at no extra charge.
Your GPU is physically dedicated to your server. no virtualization layer, no time-sharing, no other tenant on your GPU. Full VRAM, all CUDA cores, all the time.
Advanced network-level DDoS mitigation at the datacenter. keeping your GPU server and services online during attacks at no additional cost.
Hardware-level remote access from anywhere. even when the OS or network is down. Access BIOS, reinstall OS, mount custom ISOs, and recover your server remotely.
1Gbps unmetered network port on every GPU server. transfer large datasets, model checkpoints, and training data without worrying about bandwidth costs.
Fast NVMe storage for datasets, model checkpoints, and working data. GPU bottlenecks vanish when your storage I/O matches your compute speed.
Expert staff physically on-site around the clock for hardware replacements, physical maintenance, and emergency intervention. Your GPU server never waits for business hours.
Power, cooling, and network uptime SLA on every GPU dedicated server. Enterprise-grade datacenter redundancy. N+1 power, N+1 cooling, multi-homed network.
Complete administrator control via SSH. Install any CUDA version, ML framework, container runtime (Docker, Singularity), or custom software stack without restrictions.
Need a specific GPU + CPU + RAM + storage combination? Contact our sales team. we provision custom GPU dedicated servers to your exact workload specifications.
Enterprise NVIDIA GPUs paired with Intel Xeon or AMD EPYC CPUs, DDR4 ECC RAM, and NVMe SSD arrays. Your GPU is never throttled by a slow storage or memory subsystem.
We offer a 100% uptime SLA on power, cooling, and network. so your AI training runs never get interrupted by infrastructure issues.
GPU server hardware failures require immediate hands-on response. Our on-site engineers work around the clock with pre-staged spare parts to minimize any downtime.
No hypervisor, no vGPU slicing, no shared VRAM. Each GPU is physically assigned to one tenant, delivering 100% of the card's compute throughput and full CUDA memory bandwidth.
Pick NVIDIA RTX GPUs for cost-efficient rendering, game development, and inference workloads, or select professional A-series cards such as the NVIDIA A100 dedicated server tier for production AI training and HPC with ECC memory and higher mean-time-between-failures. All plans include full CUDA access and enterprise datacenter infrastructure.
Why bare metal GPU outperforms cloud GPU for serious workloads.
| Feature | Cloud GPU (AWS / GCP / Azure) | OBHost GPU Dedicated Recommended |
|---|---|---|
| GPU allocation | Shared/vGPU. partial access | ✅ 100% dedicated physical GPU |
| Pricing model | Per-hour, unpredictable bills | ✅ Fixed monthly. no surprise invoices |
| GPU memory | Partitioned / limited | ✅ Full VRAM (24GB–80GB) |
| CUDA performance | Virtualization overhead | ✅ Bare metal. no hypervisor loss |
| Root access | Restricted/containerized | ✅ Full root. any OS, any framework |
| Custom driver versions | Limited or fixed versions | ✅ Install any CUDA/driver version |
| Network I/O | Shared bandwidth pool | ✅ Dedicated 1Gbps unmetered port |
| Hardware uptime SLA | 99.9% (excludes many scenarios) | ✅ 100% power/cooling/network SLA |
| Starting cost | ~$400–$3,000/mo (spot pricing varies) | ✅ From $232/mo fixed |
Unlock the performance, reliability, and control that GPU-intensive workloads demand.
Dedicated NVIDIA GPUs with full CUDA core access, maximum VRAM, and no virtualization overhead. Your workloads run at the GPU's true specification. not a cloud fraction of it.
Fast NVMe storage for large datasets combined with a dedicated 1Gbps unmetered port eliminates the I/O bottlenecks that slow down cloud-based GPU training runs.
Full root SSH access. install any CUDA version, ML framework, Docker runtime, or custom software. No container restrictions, no approved software lists, no platform lock-in.
No per-hour GPU billing, no spot instance interruptions, no data transfer fees. A single predictable monthly price. regardless of how intensively you use the GPU.
Free DDoS protection, 24/7 on-site physical security, and a 100% uptime SLA on power, cooling, and network. Enterprise infrastructure for serious GPU workloads.
Your GPU dedicated server runs 24/7. long training runs that take days or weeks complete without interruption from spot instance preemption or cloud maintenance windows.
Install any framework, runtime, or OS on your GPU dedicated server. full root, no restrictions.
Ubuntu
Docker
AlmaLinux
CentOS
Arch Linux
Webmin
OpenBSD
CyberPanel
Drupal
Magento
Everything about OBHost AI GPU Dedicated Servers. hardware, CUDA, pricing, and configurations.
Request GPU Server →NVIDIA RTX 4090 · A40 · A100 · CUDA-Ready · Full Root · 100% Uptime SLA
From $232/mo · Custom configurations available · 24/7 On-Site Engineers · Since 2014