Shakti AI Lab
Power your AI projects without the hardware hassles
Shakti AI Lab provides GPU-accelerated computing resources for AI research and education. The platform offers virtual workstations with Sliced NVIDIA GPUs, allowing multiple users to share a single high-performance GPU. It comes with pre-configured development environments and pre-integrated storage, simplifying the setup process for students and researchers.
Built with the Best
Built for Education, Research & Innovation
Empower students with pre-configured environments (Jupyter, VSCode, TensorFlow, PyTorch) and pre-loaded datasets, giving them hands-on exposure to real-world AI tools.
Fractional GPU access (H100 & L40S) and calendarised scheduling ensure optimal resource use while unlimited user onboarding supports large student batches.
Enable researchers to fine-tune open-source models in shared environments, and access customisable GPU-powered workstations for short-term or long-term projects.
AI Lab Advantage
Scalable, Multi-Tenant AI Model Training
with Shakti AI Lab
Fractional GPU Power
Access NVIDIA H100 slices (10/20/40GB) - pay only for what you use.
Pre-Configured, Zero-Setup Workspaces
Start instantly with environments pre-configured with Jupyter, VSCode, CUDA, TensorFlow, PyTorch, and curated datasets.
Effortless Lab Management
Manage labs from an intuitive interface, onboard unlimited users, and control lab usage through concurrency caps and calendarized scheduling.
Secure, Role-Based Access
Maintain organised, role-based resource allocation for multiple teams and learners.
Real-Time Tracking & Collaboration
Monitor GPU usage and learner performance while driving teamwork in collaborative, shared environments.
Peak Performance
Unveiling the Secrets of
High-Performance Architecture
- Cloud-Native AI Infrastructure
- GPU-Powered Workstations
- Fractional GPU Access
- Pre-Configured Development Environments
- Flexible Storage Options
- Role-Based Access & Lab Management
- Real-Time Monitoring & Analytics
Cloud-Native AI Infrastructure
This infrastructure is built on the cloud to provide scalable AI resources. This eliminates the need for organizations to manage physical hardware and allows for dynamic resource scaling to meet fluctuating needs.
GPU-Powered Workstations
The platform offers container-based workstations powered by high-performance NVIDIA GPUs, including L40s and H100. These are provisioned in seconds to handle demanding AI workloads such as large-scale inference and training.
Fractional GPU Access
The platform allows administrators to allocate resources based on specific workload requirements. This feature optimizes cost-efficiency by enabling users to access only the necessary amount of GPU power, from 10 GB to 640 GB H100, for demanding AI workloads like large-scale inference and training.
Pre-Configured Development Environments
The AI Lab comes with ready-to-use software environments that include essential frameworks and libraries like TensorFlow, PyTorch, and CUDA. This allows users to begin building and training models immediately without manual setup.
Flexible Storage Options
The platform provides high-performance storage that ensures seamless data handling for both learning and research tasks. Users can partition storage to manage common and user-specific data, optimizing resource utilization.
Role-Based Access & Lab Management
The platform includes administrative controls for managing user access and resource allocation. Lab administrators can assign learners to specific projects and control access to shared GPU resources.
Real-Time Monitoring & Analytics
Integrated dashboards provide administrators with real-time insights into resource usage and user activity. This allows for efficient allocation and helps maximize the value of the investment.
Why Shakti Cloud Works for You
Scalable AI Lab Plans for Every Use Case
- Monthly Price
| Workstation Name | Configuration | Price per month |
|---|---|---|
| AI Lab-H100-10GB | GPU Compute: 10 GB slice of Nvidia H100 CPU Compute: 2 cores of Intel Xeon Platinum 8480+ with 30 GB RAM Dedicated Storage: 50 GB per workstation for source code or training datasets |
₹25,000 per workstation |
| AI Lab-H100-20GB | GPU Compute: 20 GB slice of Nvidia H100 CPU Compute: 3 cores of Intel Xeon Platinum 8480+ with 60 GB RAM Dedicated Storage: 100 GB per workstation for source code or training datasets |
₹50,000 per workstation |
| AI Lab-H100-40GB | GPU Compute: 40 GB slice of Nvidia H100 CPU Compute: 6 cores of Intel Xeon Platinum 8480+ with 125 GB RAM Dedicated Storage: 200 GB per workstation for source code or training datasets |
₹1,00,000 per workstation |
| AI Lab-H100-80GB | GPU Compute: 1x Nvidia H100 with 80 GB GPU memory CPU Compute: 14 cores of Intel Xeon Platinum 8480+ with 250 GB RAM Dedicated Storage: 400 GB per workstation for source code or training datasets |
₹1,75,000 per workstation |
| AI Lab-H100-2x80GB | GPU Compute: 2x Nvidia H100 with 160 GB GPU memory CPU Compute: 28 cores of Intel Xeon Platinum 8480+ with 500 GB RAM Dedicated Storage: 800 GB per workstation for source code or training datasets |
₹3,50,000 per workstation |
| AI Lab-H100-4x80GB | GPU Compute: 4x Nvidia H100 with 320 GB GPU memory CPU Compute: 56 cores of Intel Xeon Platinum 8480+ with 1 TB RAM Dedicated Storage: 1600 GB per workstation for source code or training datasets |
₹7,00,000 per workstation |
| AI Lab-H100-8x80GB | GPU Compute: 8x Nvidia H100 with 640 GB GPU memory CPU Compute: 112 cores of Intel Xeon Platinum 8480+ with 2 TB RAM Dedicated Storage: 3200 GB per workstation for source code or training datasets |
₹14,00,000 per workstation |
| AI Lab-L40S-48GB | GPU Compute: 48 GB slice of Nvidia L40S CPU Compute: 6 cores of Intel Xeon Platinum 8480+ with 125 GB RAM Dedicated Storage: 200 GB per workstation for source code or training datasets |
₹74,000 per workstation |
| AI Lab-L40S-2x48GB | GPU Compute: 2x Nvidia L40S with 96 GB GPU memory CPU Compute: 32 cores of Intel Xeon Gold 6448Y with 500 GB RAM Dedicated Storage: 400 GB per workstation for source code or training datasets |
₹1,48,000 per workstation |
| AI Lab-L40S-4x48GB | GPU Compute: 4x Nvidia L40S with 192 GB GPU memory CPU Compute: 64 cores of Intel Xeon Gold 6448Y with 1 TB RAM Dedicated Storage: 800 GB per workstation for source code or training datasets |
₹2,96,000 per workstation |