A. To serve as a backup solution for critical data in real time environments.

B. To optimize machine learning workflows by integrating data processing and AI model training.

C. To provide high-performance computing for large-scale simulations.

D. To enhance traditional data storage solutions with advanced AI capabilities.

A. Data analytics

B. Recommender systems

C. Natural language processing

A. Storage fabric bandwidth.

B. Using the CPU to copy data.

C. Low network bandwidth.

A. Accuracy

B. NDCG

C. Precision@K

D. MAP

A. 4

B. 8

C. 7

A. It dynamically overclocks GPUs and other accelerators to maximize FLOPS without requiring changes to application code.

B. It provides robust, policy-driven job scheduling with support for queues, priorities, reservations, and fine-grained resource allocation for heterogeneous nodes.

C. It continuously monitors facility-level power infrastructure and automatically reconfigures data center electrical distribution during peak demand.

D. It is the only platform that can launch and manage containerized workloads across GPU- accelerated nodes in a production environment.

A. Statistical pattern recognition

B. Task-specific automation

C. Human-level general reasoning across domains

D. Rule-based expert systems

A. Fibre Channel

B. InfiniBand

C. Ethernet