AI Lab enables you to build your AI Center of Excellence with predictable, per-workstation pricing. It offers access to pre-configured library templates and easy management of the latest GPUs, all without requiring technical expertise.
Seamlessly accommodate multiple users at once, without scheduling delays. Whether you’re running a small class or hosting a large-scale research project, you can scale by adding more seats for the required hours. Instantly provision workstations from any location.
Trainers can eaily manage and customise workstations without the need for technical expertise. With intuitive controls, trainers can provision, monitor, and adjust resources on the fly.
Minimise capital investments with a predictable, fixed-cost model. Pay only for the number of concurrent users and the hours you need daily. This ensures you get the most out of your budget, whether for short-term courses or long-term research.
With customizable environments, you can select the GPU memory size, GPU type, frameworks, libraries, and tools you need, while also configuring GPU and CPU resources to match your project's requirements.
Schools, colleges, and universities with constrained budgets can access the latest GPUs for AI/ML coding on a pay-per-use model. These institutions can purchase the required number of concurrent seats for the desired hours at minimal cost, ensuring they stay competitive in AI education without a large financial burden.
Data scientists who need a flexible coding environment with pre-configured libraries for short-term projects can utilize AI Lab. With a predictable, cost-efficient model, they can quickly access the tools they need to run AI/ML experiments, reducing downtime and improving project timelines.
For research organisations running AI/ML projects that require high-end GPUs for limited periods, AI Lab provides the perfect solution. These institutions can purchase unlimited GPU access for a set monthly fee, offering the computational power they need without a long-term commitment or hefty capital expenses.
Enterprises with rapidly expanding AI/ML teams can leverage AI Lab’s scalability to accommodate multiple users on-demand. Companies can efficiently provide their data science and machine learning teams with the necessary compute resources during peak project periods, ensuring productivity without the need to invest in costly infrastructure.
Startups focused on AI research and development can benefit from AI Lab’s flexible seat model, gaining access to the latest technology at a fraction of the cost of purchasing physical infrastructure. With the ability to scale up resources as needed; startups can focus on innovation without being limited by hardware budgets.
Product teams working on AI-powered prototypes can utilize AI Lab to quickly test and iterate on their models. With pre-configured environments, teams can speed up the development process and move from ideation to deployment faster, all while managing costs efficiently.
