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.
