GPU CLOUD SERVERS | AI · ML · DEEP LEARNING

NVIDIA GPU Cloud Servers
Built for AI & Machine Learning

Deploy high-performance GPU cloud servers with NVIDIA A100, V100, RTX 4090, and A6000 GPUs. Perfect for AI training, inference, and scientific computing.

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GPU CLOUD STATUS
AI-Ready
NVIDIA A100 / V100 / RTX 4090
Available
PCIe Gen4 NVMe Storage
7,000 MB/s
AMD EPYC / Intel Xeon CPUs
Latest Gen
CUDA, PyTorch, TensorFlow
Pre-Installed
GPU TYPES AVAILABLE

Choose the Right GPU for Your Workload

From AI training to 3D rendering — we have GPUs for every high-performance computing need.

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.

GPU CLOUD PLANS

Choose the Perfect GPU Server for Your Workload

From AI development to large-scale training — we have a GPU cloud plan for every stage of your project.

STARTER
GPU Cloud Basic

Perfect for AI development, model prototyping, and small-scale experiments.

  • 1x NVIDIA RTX 4090 (24GB)
  • 8 vCPU Cores
  • 32 GB RAM
  • 500 GB NVMe Storage
  • CUDA Pre-Installed
  • 1 Gbps Bandwidth
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POPULAR
GPU Cloud Standard

Ideal for AI model training, computer vision, and deep learning projects.

  • 1x NVIDIA A6000 (48GB)
  • 16 vCPU Cores
  • 64 GB RAM
  • 1 TB NVMe Storage
  • CUDA + PyTorch Pre-Installed
  • 1 Gbps Bandwidth
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PRO
GPU Cloud Pro

Built for serious AI research, multi-GPU training, and scientific computing.

  • 2x NVIDIA V100 (64GB total)
  • 32 vCPU Cores
  • 128 GB RAM
  • 2 TB NVMe Storage
  • CUDA + TensorFlow + PyTorch
  • 10 Gbps Bandwidth
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ENTERPRISE
GPU Cloud Enterprise

For LLM training, large-scale AI, and enterprise research workloads.

  • 4x NVIDIA A100 (320GB total)
  • 64 vCPU Cores
  • 256 GB RAM
  • 4 TB NVMe Storage
  • CUDA + Full AI Stack
  • 10 Gbps Redundant NIXI
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MULTI-GPU
Multi-GPU Cluster

For distributed training and HPC workloads requiring 8+ GPUs with NVLink / InfiniBand.

  • 8x NVIDIA A100 (640GB total)
  • 128 vCPU Cores
  • 512 GB RAM
  • 8 TB NVMe Storage
  • NVLink / InfiniBand
  • 10 Gbps Redundant NIXI
Contact for Pricing
CUSTOM
Custom GPU Server

Need a specific GPU configuration? Build your own GPU server with custom GPU, CPU, RAM, and storage.

  • Any NVIDIA GPU
  • Up to 128 vCPU Cores
  • Up to 512 GB RAM
  • Up to 8 TB NVMe Storage
  • Custom AI Stack
  • Custom SLA
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AI FRAMEWORKS SUPPORTED

Pre-Installed AI & ML Frameworks

Every GPU Cloud server comes with the complete AI stack pre-installed. Start training models in minutes.

PyTorch

Latest PyTorch with CUDA support for deep learning and research.

TensorFlow

TensorFlow 2.x with GPU acceleration for production ML pipelines.

CUDA & cuDNN

NVIDIA CUDA Toolkit and cuDNN libraries pre-installed for max performance.

Jupyter & Notebooks

JupyterLab, Jupyter Notebook, and Google Colab-compatible environment.

ONNX Runtime

Run inference with ONNX Runtime and TensorRT for maximum throughput.

LLM Tools

Hugging Face Transformers, LangChain, LlamaIndex, and more.

Data Science Stack

NumPy, Pandas, Scikit-learn, Matplotlib, and SciPy pre-installed.

Docker & Kubernetes

Container support with NVIDIA Container Toolkit for GPU workloads.

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What Can You Run on GPU Cloud?

LLM Training & Fine-Tuning

Train, fine-tune, and deploy Large Language Models like Llama, Mistral, and custom GPTs.

Computer Vision

Object detection, image segmentation, and video analytics with YOLO, Detectron2, and OpenCV.

Speech & NLP

Speech-to-text, text-to-speech, and NLP pipelines with Whisper, BERT, and more.

Scientific Computing

Molecular dynamics, CFD simulations, and HPC workloads requiring GPU acceleration.

FREQUENTLY ASKED QUESTIONS

GPU Cloud Server FAQ

We offer NVIDIA A100 (80GB), V100 (32GB), A6000 (48GB), and RTX 4090 (24GB). For multi-GPU workloads, we also provide 8x A100 configurations with NVLink and InfiniBand interconnects.

Every GPU Cloud server comes with CUDA Toolkit, cuDNN, PyTorch, TensorFlow, ONNX Runtime, JupyterLab, NumPy, Pandas, and Scikit-learn pre-installed. You can start training models immediately.

Yes! Many of our customers use GPU Cloud purely for inference (running LLMs, image generation, etc.). We offer both hourly and monthly billing to suit your inference needs.

No minimum commitment. We offer hourly, daily, weekly, and monthly billing. You can spin up a GPU instance, use it for a few hours, and tear it down. Pay only for what you use.

GPU Cloud pricing depends on the GPU type, number of GPUs, and duration. Please contact our sales team via chat, email, or WhatsApp for a custom quote. We'll respond within 24 business hours.

Ready to Accelerate Your AI Workloads?

Get a custom GPU Cloud quote tailored to your AI, ML, or scientific computing needs. Our team will help you architect the right solution.

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