Shakti AI Lab is a cloud-based AI platform offering access to high-performance GPUs and pre-configured environments for educational institutions. It simplifies AI learning and research with tools like Jupyter and VSCode without the need for expensive on-premises infrastructure.

Shakti AI Lab offers flexible, scalable access to cutting-edge GPUs without upfront investments or maintenance costs. Its no-code setup simplifies deployment, making it more cost-effective and adaptable than physical lab setups.

Shakti AI Lab offers Nvidia L40S and H100 GPUs, which support complex AI tasks such as large model training, ensuring high efficiency and access to industry-leading technology.

Institutions can buy monthly or annual access to workstations. The lab offers ready-to-use environments like Jupyter and VSCode with AI frameworks such as TensorFlow, PyTorch, CUDA, cuDNN. Custom containers can be configured to meet institution-specific software requirements.

Yes, institutions can link external storage solutions to the lab, allowing seamless access to proprietary datasets without the need for data migration.

AI Lab supports seamless scalability, allowing institutions to add unlimited users and more workstations based on growing needs.

The lab supports diverse projects including training large language models, computer vision, NLP, and other AI/ML tasks, leveraging powerful GPUs like the L40S and H100.

Yes, pilot programs are available on a case-by-case basis, enabling institutions to test AI Lab's features before making long-term commitments.

AI Lab requires no on-premises hardware; a stable internet connection and basic devices are sufficient as heavy computing tasks are handled in the cloud.

Shakti AI Lab is designed specifically for academia with features like tailored AI training programs, admin-controlled environments, student-centric pre-configured container images, and transparent pricing with no hidden costs.

Shakti AI Lab provides flexible investment plans, allowing institutions to start small and scale as needed. Its per-workstation pricing, intuitive setup, and predictable costs help institutions manage budgets efficiently.

The platform empowers administrators with tools to manage and monitor lab usage, allocate resources, and customize environments for educational or research needs, ensuring efficient resource utilization.

Users can add or reduce workstations based on monthly or annual basis for situations such as hackathons or short-duration lab sessions. This ensures that computational power is available when needed, unlike physical labs which are constrained by space and infrastructure.

The platform offers ready-to-use GPU profiles and pre-configured container images, eliminating complex setup processes. Institutions can also configure custom container images as needed for different courses and research projects.

Shakti AI Lab supports seamless integration with external storage solutions, enabling quick access to source code, proprietary data, and training datasets via no-code connections.

Shakti AI Lab offers fixed, predictable pricing without hidden fees for data ingress or egress. This transparency helps institutions manage lab budget effectively without unexpected expenses.

Shakti AI Lab exclusively offers access to the latest Nvidia GPUs, such as H100 and L40S, ensuring institutions work with cutting-edge hardware for AI research and development