In a recent development, WEKAIO, the AI-native data platform company, has teamed up with Contextual AI to bolster the data infrastructure for Contextual Language Models (CLMs). This collaboration leverages WEKA’s advanced data platform to power Contextual AI’s innovative RAG 2.0 technology, aiming to enhance AI applications for Fortune 500 enterprises.
Developing the Next Generation of Enterprise AI Models
- Contextual AI Overview: Founded in 2023, Contextual AI offers a turnkey platform for enterprise AI applications using its RAG 2.0 technology.
- Advancements in RAG 2.0: Unlike traditional methods, RAG 2.0 integrates retrieval and generation processes into a single system, improving accuracy, compliance, and traceability.
Architecting a Data Management System to Maximize GPU Utilization
- Performance Challenges: Initial performance issues included poor GPU utilization and delayed model development.
- WEKA Data Platform Solution: WEKA’s AI-native architecture is designed to enhance GPU efficiency by creating seamless data pipelines. Its cloud and hardware-agnostic capabilities support various AI workloads and improve data handling during training.
Results and Key Outcomes
- 3x Performance Improvement: Achieved a threefold increase in performance by optimizing GPU utilization.
- 4x Faster AI Model Checkpointing: Enhanced checkpointing processes, improving developer productivity significantly.
- 38% Cost Reduction: Reduced cloud storage costs by 38% per terabyte.
Contextual AI’s partnership with WEKA is a significant step towards advancing enterprise AI by overcoming data management challenges. The WEKA Data Platform has proved instrumental in improving performance and reducing costs, thereby accelerating the development of reliable and efficient AI models.
