AI-Ready Infrastructure
Oneraap’s GPU servers are purpose-built for modern AI workloads — from image generation to LLM training and inference. No bloat, no oversell, just raw dedicated power.
Nvidia 4070S
12 GB Vram
- Epyc 16 cores, 32 threads
- 1 Dedicated IP
- 64 GB DDR4
- Linux or Windows
- 500 GB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: Entry-level AI, ComfyUI, lightweight SDXL, 3D model prep, FFmpeg encoding
X2 Nvidia 4070S
- Epyc 32 cores, 64 threads
- 1 Dedicated IP
- 128 GB DDR4
- Linux or Windows or Proxmox
- 500 GB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: SDXL base model training, media processing, light AI workloads, cloud render node
X4 Nvidia 4070S
48 GB Vram
- EPYC 64 cores, 128 threads
- 1 Dedicated IP
- 512 GB DDR4
- Linux or Windows or Proxmox
- 1 TB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: Small-scale AI training, mid-tier render farms, AI-enhanced VFX pipelines
Nvidia 4070 Ti S
16 GB Vram
- Epyc 8 cores, 16 threads
- 1 Dedicated IP
- 64 GB DDR4
- Linux or Windows or Proxmox
- 400 GB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: Stable Diffusion, image generation, Unreal/Unity GPU baking, Light inference
X2 Nvidia 4070 Ti S
32 GB Vram
- Epyc 16 cores, 32 threads
- 1 Dedicated IP
- 96 GB DDR4
- Linux or Windows or Proxmox
- 800 GB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: ComfyUI + LoRA fine-tuning, Whisper transcription farms, Blender render farms
X4 Nvidia 4070 Ti S
64 GB Vram
- Epyc 32 cores, 64 threads
- 1 Dedicated IP
- 96 GB DDR4
- Linux or Windows or Proxmox
- 1.6 TB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
- GPU slicing
- Docker + NVIDIA runtime
Great for: Multi-model GPU workloads, Dockerized SD services, Vulcan + gaming streams
x8 Nvidia 4070 Ti S
128 GB Vram
- Epyc 64 cores, 128 threads
- 1 Dedicated IP
- 512 GB DDR4
- Linux or Windows or Proxmox
- 3.3 TB NVME SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
- GPU slicing
- Docker + NVIDIA runtime
Great for: High-concurrency AI inference, multi-user rendering farms, containerized workloads, PyTorch & TensorFlow tasks
Nvidia 4090
24 GB Vram
- Intel i7 16 cores, 24 threads
- 1 Dedicated IP
- 64 GB DDR5
- Linux or Windows
- 3.6 TB NVMe SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: InvokeAI, ComfyUI, Stable Diffusion, AI upscaling, video rendering, Unreal Engine preview
X2 4090
48 GB Vram
- Ryzen 16 cores, 32 threads
- 1 Dedicated IP
- 96 GB DDR5
- Linux or Windows
- 2 TB NVMe SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
Great for: Accelerated AI training, LoRA fine-tuning, multi-model SD workflows, VR/AR rendering
X4 4090
96 GB Vram
- Epyc 64 cores, 128 threads
- 1 Dedicated IP
- 512 GB DDR4
- Linux or Windows or Proxmox
- 7 TB NVMe SSD
- Full Root Access
- Unmetered Bandwidth
- Discord Support
- GPU slicing
- Docker + NVIDIA runtime
Great for: LLM fine-tuning, multi-tenant AI hosting, enterprise AI development, Unreal Engine cinematic rendering
AI-Ready Infrastructure
Built for AI. Optimized for performance. Trusted by researchers, developers, and creators.
Enterprise CPUs with Full Virtualization
AMD EPYC and Ryzen CPUs paired with ECC DDR4/DDR5 RAM deliver ultra-fast I/O and concurrency — perfect for AI training loops, transformers, and parallel inference.
GPU Acceleration at Scale
From single 4070S rigs to multi-4090 powerhouses, every plan is equipped with modern NVIDIA GPUs ideal for Stable Diffusion, LLaMA, DreamBooth, and other deep learning workloads.
99.9% Uptime Guarantee
We maintain high-availability infrastructure across all nodes, backed by proactive monitoring and robust networking to keep your services online 24/7.
Docker-Optimized and GPU Slice Ready
Preconfigured support for Docker + NVIDIA runtime, with optional GPU slicing for running multiple AI models or users per GPU.
Instant OS Choices for AI
Launch with Ubuntu, Debian, Windows, or Proxmox — or bring your own image. All optimized for popular frameworks like PyTorch, TensorFlow, and JAX.
Tested with Real AI Models
We’ve verified compatibility with: 🔹 Stable Diffusion XL 1.0 & 1.5 🔹 LLaMA 2/3, Mistral, Orca Mini 🔹 Whisper-large-v3 🔹 ComfyUI, Fooocus, Auto1111, and more
Frequently Asked Questions
How do I get started with an AI-ready GPU server?
You can launch an AI-ready instance in just minutes. Choose your preferred GPU plan, select Linux or Windows, and access full root control for frameworks like PyTorch, TensorFlow, ComfyUI, or Stable Diffusion.
Can I use Stable Diffusion, LLaMA, or Whisper on your servers?
Yes! All GPU plans are tested with SDXL 1.0/1.5, LLaMA 2/3, Mistral, Orca Mini, Whisper-large-v3, and popular tools like ComfyUI, Auto1111, and Fooocus.
Is Docker and GPU slicing supported for AI inference?
Absolutely. Most plans support Docker with NVIDIA runtime and optional GPU slicing, allowing multiple AI models or containers to share the same GPU efficiently.
Can I scale up my compute for larger AI projects?
Yes! You can easily upgrade from a single GPU to multi-GPU nodes like dual 4090s or X8 4070 Ti clusters. Ideal for training, inference pipelines, or SaaS AI deployments.
Do you support model training or just inference?
We support both. Our hardware is optimized for training models (like DreamBooth or LoRA) and high-throughput inference workloads across SDXL, LLaMA, Whisper, and more.
Which OS and AI frameworks are supported?
Choose from Ubuntu, Debian, Windows, or Proxmox. All systems support PyTorch, TensorFlow, JAX, and include optional Docker/NVIDIA integration for containerized workflows.
We provide powerful virtual private servers (VPS), game hosting nodes, and bare metal solutions with performance-first hardware and direct support from real humans.
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