Purpose-built GPU dedicated servers for AI training, deep learning, HPC, 3D rendering, and GPU compute workloads. NVIDIA RTX and professional A-series GPUs — CUDA-ready, full root access, 100% uptime SLA, no shared resources.
Bare metal GPU servers with dedicated NVIDIA graphics. All plans include 100% uptime SLA, KVM over IP, free DDoS, and 24/7 on-site engineers. Contact us for custom GPU configurations.
NVIDIA GeForce RTX 4090 · Ada Lovelace
NVIDIA GeForce RTX 3090 · Ampere
NVIDIA A40 Professional · Ampere
NVIDIA A100 SXM · Ampere · AI
All GPU servers include: CUDA toolkit, free DDoS protection, KVM over IP, full root access, 100% uptime SLA, and 24/7 on-site engineers. Contact us for multi-GPU or custom configurations.
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 GPU dedicated server comes with these features — no extra charges.
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.
Latest-generation NVIDIA GPUs on enterprise server hardware. Intel Xeon and AMD EPYC CPUs, DDR4 ECC RAM, and NVMe SSD arrays ensure your GPU is never the bottleneck.
We offer a 100% uptime SLA on power, cooling, and network — so your AI training runs never get interrupted by infrastructure issues.
Hardware issues on GPU servers need immediate physical attention. Our engineers are on-site around the clock with spare parts ready to go.
No virtualization, no vGPU slicing, no hypervisor overhead. Every GPU is physically dedicated to one customer — you get 100% of the GPU performance.
Choose from NVIDIA RTX consumer GPUs for cost-effective compute and game dev, or professional A-series GPUs with ECC memory and higher reliability for production AI and HPC workloads. All come with full CUDA support, enterprise datacenter infrastructure, and our 100% uptime SLA.
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