Home > Workload Solutions > Data Analytics > White Papers > GenAI on Dell APEX File Storage for AWS using Databricks, Hugging Face, and MosaicML > Overview
Developing infrastructure for advanced AI models like Large Language Models (LLMs) and diffusion models necessitates significant investment. This extends beyond powerful computer resources, encompassing critical data storage infrastructure. Training datasets can be immense, ranging from terabytes to petabytes, demanding concurrent access by numerous processes. Saving checkpoints during LLM training, each potentially hundreds of GB, is equally vital.
Transitioning to distributed file storage addresses these challenges, yet many providers impose prohibitive egress fees, limiting flexibility and efficiency. Overcoming these hurdles requires an intricate balance of high throughput, efficient network utilization, determinism, and elasticity when transferring data between storage and computer clusters. Crafting reliable training software that manages these aspects remains a formidable task.
Businesses face integration challenges when incorporating cloud apps with data repositories. Questions arise regarding data accessibility, migration to cloud storage, and associated costs. Addressing these concerns, Dell, in collaboration with Databricks, provides direct access to data repositories on Dell APEX File Storage for AWS. This solution enables seamless use of Dell APEX File Storage with Databricks for AI training and fine-tuning. The solution not only streamlines access but also ensures security, maintaining data integrity and privacy during the process.
Databricks accounts are hosted and supported on Amazon Web Services, Google Cloud Platform, and Microsoft Azure. This document has been validated in AWS.
Databricks, founded by the creators of Apache Spark, leads in data and AI solutions. Their unified platform accelerates innovation and enables data-driven decision-making. Databricks unifies data engineering, data science, and business analytics, promoting seamless collaboration and swift insights. Thousands of global companies trust Databricks for its secure and scalable cloud-based solutions. Databricks is revolutionizing how businesses leverage data, with a mission to simplify and democratize AI.
Hugging Face, a leading AI company, is a pioneer in natural language processing. They offer an acclaimed open-source platform granting access to state-of-the-art NLP models. Their Transformer library, a pivotal resource in the NLP community, provides a diverse range of pretrained models for various tasks. Hugging Face plays an active role in advancing NLP research and applications. With a dynamic and extensive community, they persist in innovating and democratizing access to cutting-edge NLP technology.
The Open-source MosaicML Composer library empowers machine learning practitioners with a versatile toolkit. It facilitates seamless development and deployment of models through its extensive functions and utilities. Users can efficiently prepare data, train models, and conduct evaluations with its intuitive interface. The library's compatibility with machine learning frameworks enhances flexibility. Its open-source nature fosters community collaboration and continuous advancements in the field of machine learning.