WEKA

WEKA Data Platform

WEKA is a data platform designed for modern data workloads, particularly those involving AI, machine learning, and high-performance computing. It aims to eliminate the complexities and compromises of traditional data infrastructure by providing a unified, easy-to-use platform that spans on-premises and cloud environments.

Key Features:

• High Performance: Delivers fast file and object storage performance, optimized for high I/O, low latency, small files, and mixed workloads.
• Simplicity: A single data platform that eliminates storage silos and simplifies data management across different environments.
• Scalability: Offers independent and linear scaling of compute and storage resources, supporting large datasets and file counts.
• Sustainability: Reduces energy consumption and carbon emissions through efficient data pipelines and workload management.

Use Cases:

• AI and Machine Learning: Accelerates model training and reduces epoch times by eliminating data staging and storage bottlenecks.
• High-Performance Computing (HPC): Simplifies data management for HPC workloads, supporting various data profiles on-premises or in the cloud.
• High-Performance Data Analytics (HPDA): Improves time-to-results for data analytics tasks, regardless of scale.
• Containerized Applications: Speeds up cloud-native application development and optimizes operations with persistent storage.
• Hybrid Cloud: Enables applications to run across different environments without compromising performance or scalability.