VAST Data Platform and Its Superior AI Data Pipeline

The VAST Data Platform revolutionizes data management by uniquely supporting file, object, and tabular data formats. This capability allows organizations to consolidate every stage of the AI process—from training data management and feature stores to model artifacts, model serving, and inference—onto a single tier of high-performance storage. By eliminating the need for multiple storage platforms, VAST Data ensures that AI pipelines are faster, more secure, and can accelerate insights, significantly outperforming legacy competitors.

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Collection of Raw Data

Legacy Infrastructure

The first step in the AI process involves gathering raw data from various sources, such as databases, sensors, online transactions, social media platforms, imagery, and more. Legacy systems stores this data in a data lake optimized for low cost, but analysis via file protocols requires copying data to separate systems, resulting in inadequate performance for AI processing.

VAST Data

The VAST Data Platform ensures that all data is immediately AI-ready and available over high-performance file and object protocols without making copies or deploying file gateways. This seamless data handling eliminates legacy systems' complexities and performance bottlenecks, enabling a streamlined and efficient AI data pipeline from when data is collected.

Data Refinement

Legacy Infrastructure

Raw data almost always contains errors, inconsistencies, or missing values, requiring thorough preparation, including cleansing and preprocessing techniques such as normalization and feature extraction. Traditionally, this step involved transferring data to local high-performance server storage, which was time-consuming and cumbersome.

VAST Data

VAST’s high-performance capabilities allows direct data processing from shared infrastructure, eliminating the need for data copying. Additionally, we seamlessly integrate with GPU acceleration and NVIDIA RAPIDs, delivering up to 100 times faster results than legacy solutions. This significantly enhances the efficiency and speed of data refinement, making VAST an excellent choice for AI-driven workflows.

Model Training

Legacy Infrastructure

Machine learning algorithms learn and identify patterns using refined data during the model training phase. This process includes selecting algorithms, inputting training data, and iteratively adjusting models to reduce errors, all of which demand peak performance levels. Legacy systems require transferring refined data to specialized parallel file storage for processing, resulting in delays and potential system downtime.

VAST Data

VAST Data eliminates the need for data copying and tuning downtime, allowing AI models to begin training immediately. Additionally, VAST creates snapshots of the dataset, recording and preserving everything needed for the model. This streamlined approach ensures efficient and uninterrupted model training, significantly outperforming legacy technologies.

Inference

Legacy Infrastructure

Trained AI models are applied to new, unseen data to generate insights, predictions, or responses. This critical step involves deploying the AI model in real-world scenarios to solve actual problems or answer questions based on previously unencountered data.

VAST Data

With the VAST Data Platform, all interactions—requests and responses—are directly stored on the same platform. This streamlines data capture and facilitates seamless transitions into subsequent data refinement and model training phases, accelerating the continuous improvement cycle of AI models. VAST's unified approach ensures efficient handling of the entire AI workflow, significantly enhancing performance and reducing complexity compared to legacy systems.

Data Provenance and Audit

Legacy Infrastructure

For AI systems, it's important to have data provenance and audit trails, especially for legal compliance. These processes ensure that every step in the data lifecycle, from data collection to AI application, is carefully recorded and can be verified. Traditional solutions often need separate databases, like MongoDB or PostgreSQL, to log queries and maintain backups, which can make things more complicated and less efficient.

VAST Data

VAST’s integrated database seamlessly maintains records of prompts and interactions. The VAST Catalog, combined with limitless VAST snapshots, makes organizing and retrieving training datasets easier, ensuring compliance and reproducibility. This allows organizations to show which data was used for model training, improving integrity, and protecting against legal challenges.

Streamline your AI Data Pipeline with VAST Data Platform

The VAST Data platform eliminates the need for multiple point solutions, complex security configurations, and redundant data copies, which are notorious for causing significant delays and inefficiencies. With VAST, you gain immediate access to all your data for AI processing without time-consuming data copying or complex copy management. This ensures a streamlined and accelerated pace of discovery.