Cloud Based GPU Infrastructure

Power large-scale AI training and inference workloads using NVIDIA H200, B200, and A100 GPUs in a secure cloud environment.

  • On-Demand Deployment of Advanced Cloud Based GPU Servers
  • Built-in security for your cloud based GPU workloads at every layer
  • Automated Infrastructure Management for Seamless GPU Workload
High-Performance GPU Virtual Machines
Premium Infrastructure

Choose the Right GPU for Your Workload

Flexible AI Servers Designed to Match Your Needs

Flexible AI Servers Designed to Match Your Needs

Choose from a variety of GPU, CPU, RAM, and storage combinations - tailored to match your exact AI workload.

Instant Setup

Instant Setup

Don't wait for hours. Get your server ready in under 60 seconds with our automated provisioning engine.

Security by Design

Security by Design

Your data belongs to you. We provide isolated networks and hardware-level encryption for every instance.

Pay as You Go

Pay as You Go

Pay only for what you use with flexible hourly billing - no long-term commitments.

High-Performance Computing

NVIDIA GPUs for AI Workloads.

Access the latest NVIDIA GPU architectures optimized for machine learning, deep learning, and AI inference. We bridge the gap between development and production.

Instant Setup

Latest GPU lineup

NVIDIA H200, B200 (Blackwell), and more - high-performance GPUs engineered for advanced AI training, inference, and large-scale workloads.

Instant Setup

Framework Ready

Seamlessly deploy PyTorch, TensorFlow, CUDA, and other AI frameworks with a smooth setup experience.

Instant Setup

High-Speed GPU Memory

Optimized memory architecture designed for AI training and data-intensive workloads.

View All GPU Models
NVIDIA GPUs for AI Workloads

GPU Configurations & VM Flexibility

Full control over your cloud GPU environment with flexible configurations designed for scale.

Available GPU Types

VM Instance Details

Compute & RAM

  • vCPUs
  • System RAM
  • Architecture AMD EPYC

Storage Performance

  • NVMe SSD Up to 2TB
  • Snapshots Included
  • Bandwidth

Supported Environments

Ubuntu 22.04 PyTorch / TensorFlow CUDA 12.x

Get Started in Minutes

No complex onboarding. Deploy, connect, and scale with a few clicks.

Deploy in Minutes
1

Choose Your GPU

Select from H100, A100 or RTX instances based on your budget and workload needs.

2

Instant Deploy

Our automated system provisions your VM with pre-installed CUDA drivers in <60s.

3

Connect & Code

Access via secure SSH or Jupyter Notebook. Start training your models immediately.

4

Scale or Stop

Pay only for the seconds you use. Scale up to clusters or terminate with one click.

Perfect for AI Use Cases

Our infrastructure is purpose-built to handle the most demanding computational tasks.

Deep Learning

Train massive neural networks and run complex ML experiments with ease.

Computer Vision

Real-time object detection and video analytics at enterprise scale.

LLM Training

Fine-tune Llama, Mistral, and other large language models effectively.

3D Rendering

Accelerate your creative workflow with high-performance GPU rendering.

Simple GPU Cloud Hosting.

Get instant GPU power with effortless setup, complete access, and reliable storage for all your workloads.

  • One-click deployment from marketplace
  • Full SSH access and root permissions
  • Persistent storage and instant snapshots
Get Started Now
Altinix-Terminal
$ altinix deploy --gpu rtx4090
Creating GPU instance...
Installing CUDA drivers...
Setting up environment...
✓ Instance ready in 45 seconds
SSH: root@gpu-vm-001.altinix.com
Resources

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The rapid growth of AI and machine learning has fundamentally changed how infrastructure is designed and managed.

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How GPUs Revolutionize Modern Gaming Immersion

Gaming has come a long way, from bulky physical consoles and cartridge-based systems to powerful PCs and now fully cloud-powered experiences.

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Why CUDA Code Works on Some GPUs but Fails on Others

CUDA is often treated as portable by default. Developers write kernels, compile them, and assume they’ll run anywhere an NVIDIA GPU is present.