GPU Dedicated Servers
Built for AI, ML & Deep Learning
Deploy dedicated GPU servers with NVIDIA A100, V100, RTX 4090, and A6000 GPUs. Perfect for AI training, inference, scientific computing, and high-performance workloads.
Accelerate AI, ML & HPC Workloads
GPUs are the engine of modern AI. Our dedicated GPU servers give you the raw compute power needed for training, inference, and scientific computing.
NVIDIA A100 / V100
Enterprise-grade GPUs for large-scale AI training and inference.
CUDA + cuDNN
Full NVIDIA CUDA stack with cuDNN, TensorRT, and NCCL.
NVLink + InfiniBand
Multi-GPU scaling with NVLink and InfiniBand interconnect.
NVMe Storage
High-speed NVMe storage for training datasets and checkpoints.
Choose the Perfect GPU Server for Your Workload
From single-GPU dev boxes to 8x A100 training clusters — we have a GPU dedicated server for every AI project.
GPU Starter
Perfect for AI development, model prototyping, and small-scale experiments.
- 1x NVIDIA RTX 4090 (24GB)
- 8 Dedicated CPU Cores
- 32 GB RAM
- 1 TB NVMe SSD
- CUDA + PyTorch Ready
- Full Root Access
GPU Business
Ideal for AI training, computer vision, and deep learning projects.
- 1x NVIDIA A6000 (48GB)
- 16 Dedicated CPU Cores
- 64 GB RAM
- 2 TB NVMe SSD
- CUDA + PyTorch + TensorFlow
- Priority Support
GPU Pro
Built for serious AI research, multi-GPU training, and scientific computing.
- 2x NVIDIA V100 (64GB total)
- 32 Dedicated CPU Cores
- 128 GB RAM
- 4 TB NVMe SSD
- NVLink + CUDA Stack
- Priority 24/7 Support
GPU Enterprise
For LLM training, large-scale AI, and enterprise research workloads.
- 4x NVIDIA A100 (320GB total)
- 64 Dedicated CPU Cores
- 256 GB RAM
- 8 TB NVMe SSD
- NVLink + InfiniBand
- Dedicated Account Manager
Multi-GPU Cluster
For distributed training and HPC workloads requiring 8+ GPUs with NVLink / InfiniBand.
- 8x NVIDIA A100 (640GB total)
- 128 Dedicated CPU Cores
- 512 GB RAM
- 16 TB NVMe SSD
- NVLink / InfiniBand
- Dedicated Account Manager
Custom GPU Server
Need a specific GPU configuration? Build your own GPU Dedicated Server.
- Custom GPU (A100/V100/4090/A6000)
- Custom CPU Cores
- Custom RAM (up to 1 TB)
- Custom Storage
- Custom SLA
- Custom Support
Full NVIDIA AI Stack Pre-Installed
NVIDIA A100
80GB HBM2e — best for large-scale AI training and LLMs.
NVIDIA V100
32GB HBM2 — classic AI/ML training and inference GPU.
NVIDIA RTX 4090
24GB GDDR6X — perfect for AI development and gaming.
NVIDIA A6000
48GB GDDR6 — ideal for AI, rendering, and video encoding.
CUDA + cuDNN
Full NVIDIA CUDA Toolkit with cuDNN and TensorRT.
NVLink + InfiniBand
Multi-GPU scaling with NVLink and InfiniBand interconnect.
Docker + Kubernetes
NVIDIA Container Toolkit for GPU containers and orchestration.
AI Expert Support
24/7 AI-specialist engineers available for support.
Everything Pre-Installed for AI Development
PyTorch
Latest PyTorch with CUDA support for deep learning.
TensorFlow
TensorFlow 2.x with GPU acceleration for production ML.
CUDA + cuDNN
NVIDIA CUDA Toolkit and cuDNN pre-installed.
JupyterLab
JupyterLab and Notebooks for interactive development.
ONNX Runtime
ONNX Runtime and TensorRT for optimized inference.
LLM Tools
Hugging Face, LangChain, LlamaIndex, and more.
Data Science Stack
NumPy, Pandas, Scikit-learn, Matplotlib, SciPy.
Docker + K8s
Container support with NVIDIA Container Toolkit.
What Can You Run on GPU Dedicated Servers?
LLM Training & Fine-Tuning
Train, fine-tune, and deploy LLMs like Llama, Mistral, and custom GPTs.
Computer Vision
Object detection, image segmentation, and video analytics.
Speech & NLP
Speech-to-text, TTS, and NLP pipelines with Whisper, BERT, etc.
Scientific Computing
Molecular dynamics, CFD, and HPC workloads with GPU acceleration.
GPU Dedicated Server FAQ
Ready to Accelerate Your AI Workloads?
Get a custom GPU Dedicated Server quote. Our team will help you architect the right solution for your AI, ML, or HPC project.
