New
GPU-powered environments now available
Dedicated NVIDIA GPUs in Mumbai—yours alone.
Dedicated NVIDIA GPU infrastructure in Mumbai for teams that need predictable performance, private environments, and hands-on engineering support.
Utilization — last hour
Built for AI teams and developers
Features Overview
Everything You Need to Run AI at Full Speed
A private cloud engineered for AI workloads — powerful GPUs, full control, and none of the bloat or runaway bills of the big providers.
Dedicated GPU Power — No Sharing
Run training and inference on GPUs reserved just for you — consistent performance with no noisy neighbors slowing you down.
Fully Customizable Environments
Shape your cloud around your stack — choose your GPUs, frameworks, and configuration to fit each project.
Transparent, Fixed Monthly Pricing
Choose dedicated monthly capacity. Additional storage, networking, and custom configurations are quoted before you commit.
Private & Secure by Design
Your data and models stay in an isolated environment that's yours alone — never shared infrastructure.
Fast Deployment
Go from sign-up to a running environment in hours, not weeks — with hands-on help when you need it.
How It Works
Get Started in 3 Simple Steps
Getting your own AI cloud running is simple — we handle the heavy lifting so you can focus on building.
Meet Medusa — a private AI assistant for guided workflows.
Optional, not required: your dedicated GPU cloud works with your own stack.
01
Tell Us Your Needs
Share your workload, GPU requirements, and budget. We'll recommend the right setup for you.
02
We Provision Your Cloud
We build and configure your private, dedicated environment — tuned to your exact requirements.
03
Build & Scale
Log in and start training, deploying, and scaling your AI — with support on standby as you grow.
How the VijayCloud Platform Works
From your code to running GPUs — your private AI cloud, end to end.
Core Features
Everything You Need, in One Powerful AI Cloud
From raw GPU power to security and support — built to handle serious AI workloads without the complexity.
Scalable GPU Resources
Scale from a single GPU to multi-GPU clusters as your workloads grow — up or down, on demand.
Real-Time Monitoring
Track GPU usage, performance, and costs live, so you always know what you're running and paying.
Framework-Ready
Pre-configured for PyTorch, TensorFlow, and popular AI tools — start building immediately.
Automated Backups
Your data and model checkpoints are backed up automatically, so nothing is ever lost.
Full Root Access
Complete control of your environment — install anything, configure everything, no restrictions.
Expert Support
Talk to real AI infrastructure engineers, not a generic help desk, whenever you need a hand.
One Platform for Your Entire AI Stack
VijayCloud manages every layer — from the GPU silicon up to your running AI applications.
Integrations
Works With the Tools You Already Use
Plug your AI cloud into the frameworks and tools your team already relies on.
PyTorch
Run and train PyTorch models with GPU acceleration out of the box.
TensorFlow
Full support for TensorFlow training and inference workloads.
Hugging Face
Pull and deploy models from the Hugging Face hub in minutes.
Jupyter
Spin up notebooks in your environment for fast experimentation.
Docker
Deploy containerized workloads with full container support.
Pricing
Simple, Transparent Pricing
Choose a monthly capacity tier for dedicated infrastructure. Custom GPU, storage, networking, and support requirements are quoted separately.
Starter
For solo developers and small AI projects
$149
/month
Includes:
Professional
For teams training and running models in production
$599
/month
Includes:
Enterprise
For organizations with heavy or specialized workloads
Custom Pricing
Includes:
Need help sizing a plan? Tell us your workload and we’ll recommend a configuration before you commit.
FAQ
Helpful Answers Before You Get Started
Find answers to the most common questions about features, pricing, integrations.
VijayCloud is a private, high-performance AI cloud. We provision dedicated GPU environments tailored to your workloads, so you get the power of the big clouds without the price or the complexity.
You pay only for the resources you actually use, on infrastructure we run efficiently, with no bundled extras or surprise fees. For most AI workloads that means a real saving over the major providers.
Tell us your workload, GPU needs, and budget. We recommend a setup, provision your private environment, and hand you the keys, usually within 24 hours.
Yes. Every environment is shaped around your project — choose your GPUs, frameworks, and configuration, and scale up or down as your needs change.
We offer NVIDIA GPUs from RTX-class up to A100 and H100 clusters, pre-configured for PyTorch, TensorFlow, Hugging Face, Jupyter, and Docker.
Your environment is isolated and dedicated to you — never shared infrastructure. Your data and models stay yours, with automated backups included.
Yes. You talk to real AI infrastructure engineers, not a generic help desk. Higher plans include priority and 24/7 dedicated support with an account manager.
No long lock-ins. Start monthly and scale when you are ready; Enterprise plans can be tailored with custom terms and SLAs.
Blogs
Learn from Experts, Insights, and Resources
Try It Free. Scale When You’re Ready.
Get started without limits. Explore all features at your own pace — upgrade only when your business grows.