Why Katika AI Hosting

Everything you need to train, deploy, and scale AI—without the infrastructure headaches.

💻

GPU-Powered Infrastructure

Dedicated NVIDIA GPUs for training and inference. No shared bottlenecks slowing your models down.

One-Click Deployment

Deploy PyTorch, TensorFlow, and custom models instantly. Upload your code or connect a Git repo.

📈

Auto-Scaling

Scale resources up or down based on demand. Pay only for what you use during traffic spikes.

🌐

Custom Subdomains

Your models live at yourapp.ai.katikaws.com with free SSL certificates included.

💡

24/7 Monitoring

Real-time dashboards for CPU, memory, and GPU usage. Alerts when something needs attention.

🔌

API Ready

RESTful API endpoints for your models out of the box. Integrate with any application instantly.

AI Hosting Plans

From prototyping to production-grade deployments, pick the plan that fits your workload.

AI Starter
$19.99 /mo
Billed monthly
  • 2 vCPUs, 4GB RAM
  • Shared GPU access
  • 50 GB SSD storage
  • 1 model deployment
  • Custom subdomain
  • API endpoints included
  • Community support
AI Enterprise
$149.99 /mo
Billed monthly
  • 8 vCPUs, 32GB RAM
  • Dedicated GPU (NVIDIA A100)
  • 500 GB NVMe storage
  • Unlimited deployments
  • Custom subdomains + custom domains
  • Auto-scaling + load balancing
  • Dedicated support manager

Built for Every AI Use Case

🤖

AI Chatbots & Assistants

🧠

ML Model Serving

💬

Natural Language Processing

👁

Computer Vision

Recommendation Engines

How It Works

1

Choose Your Plan

Pick the resources that match your workload—from starter GPU access to dedicated A100s.

2

Deploy Your Model

Upload your code or connect a Git repo. We handle the environment, dependencies, and scaling.

3

Go Live

Your model is instantly reachable at a custom subdomain with SSL and API endpoints ready to go.

Frequently Asked Questions

We support PyTorch, TensorFlow, JAX, Hugging Face Transformers, ONNX Runtime, and any custom Python-based framework. You can also bring your own Docker container with whatever stack you need.

Absolutely. All plans support custom Docker images. Push your container to our registry or pull from Docker Hub, GitHub Container Registry, or any private registry.

Auto-scaling is available on Professional and Enterprise plans. We monitor your request volume and automatically spin up additional instances when traffic increases, then scale down during quiet periods so you only pay for what you use.

Starter plans share a pool of NVIDIA T4 GPUs. Professional plans get a dedicated NVIDIA T4. Enterprise plans include a dedicated NVIDIA A100 with 80 GB HBM2e memory, ideal for large language models and heavy training workloads.

Yes. You can upgrade or downgrade at any time from your account dashboard. Changes take effect immediately and billing is prorated for the remainder of your cycle.

Works with your favorite AI tools

Claude by Anthropic ChatGPT by OpenAI Gemini by Google Grok by xAI