Artificial Intelligence (A.I.) enables machines to learn, reason, and solve problems, powering innovations from virtual assistants to healthcare and finance.
A cluster engine manages distributed computing resources to run AI and ML workloads efficiently, enabling parallel processing, scalability, and fault tolerance.
An inference engine runs pre-trained AI/ML models to generate predictions in real time or batch. Learn how it optimizes performance and enables scalable deployment.