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Alluxio Enterprise AI Version 3.2 Now Available
We’re excited to announce Alluxio Enterprise AI version 3.2, empowering organizations to maximize their AI infrastructure. Read the press release to learn more about how these advancements help ensure peak performance, cost-effectiveness, flexibility and manageability.
Version 3.2 highlights:
✨ Leverage GPUs Anywhere for Speed and Agility
✨ Higher I/O Performance and 97%+ GPU Utilization
✨ New Filesystem API for Python Applications
✨ Advanced Cache Management for Efficiency and Control
✨ Leverage existing data lake resources and achieve HPC Storage performance
In today’s AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.
In this webinar, Shouwei Chen will introduce exciting new features of Alluxio Enterprise AI 3.2:
- Leveraging GPU resources anywhere accessing remote data with the same local performance
- Enhanced I/O performance with 97%+ GPU utilization for popular language model training benchmarks
- Achieving the same performance as HPC storage on existing data lake without additional HPC storage infrastructure
- New Python FileSystem API to seamlessly integrate with Python applications like Ray
- Other new features, include advanced cache management, rolling upgrades, and CSI failover
3.2 Launch Party | Tuesday, July 16 @ San Mateo, CA
With our latest release of Alluxio Enterprise AI 3.2, the Alluxio team is ready to party! Done with work for the day? Join us at our exclusive friends & family happy hour on Tuesday July 16 in Downtown San Mateo for food and drinks as we celebrate. Come meet the Alluxio engineers and product managers behind this release!
Tutorial | Put Your GPUs to the Test
Check out this simple tutorial to discover your GPU utilization rate with only a few clicks! You may be surprised to learn that nearly a third of GPUs are under 15% utilization.
Featured News & Articles
- SiliconAngle | Alluxio says it can achieve 97% GPU utilization across a distributed filesystem by Paul Gillin
- TechStrong.AI | Update to Alluxio AI Platform Maximizes GPU Utilization by Mike Vizard
- TDWI Upside | Updated Alluxio Enterprise AI Accelerates GPUs
- TFiR | Alluxio Enterprise AI 3.2 features new native integration with Python ecosystem by Monika Chauhan
- VMblog | New Alluxio Enterprise AI Innovations Accelerate GPUs Anywhere with 97%+ GPU Utilization by David Marshall
Latest Content
Case Study | Automaker Geely’s Efficient Data Lake Architecture with Alluxio
Read this case study to learn how Geely, the parent company of the renowned Swedish automaker #Volvo, leverages Alluxio to build secure and efficient data lake architecture based on objective storage.
Blog | How Can AI Platforms Adapt to Hybrid or Multi-Cloud Environments?
Gain deeper understanding of the challenges of implementing AI platforms in hybrid and multi-cloud environments while exploring how organizations unlock the potential of these environments by leveraging a data access layer with prioritized security and optimized cost management.
Sessions & Webinar On-demand
We have highlighted all of the top moments from the AI/ML Infra Meetup, co-hosted by Alluxio and Uber! Revisit the presentations by experts from Uber, NVIDIA, Alluxio, and University of Chicago and learn about the latest developments in AI/ML infrastructure, ML pipeline, LLM, RAG, and more.
Alluxio Webinar On-demand | 10x Faster Trino Queries on Your Data Platform
Deep dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture that makes Trino 10x faster for data lakes of any scale with Jianjian Xie (Staff Software Engineer at Alluxio).
Alluxio Webinar On-demand | Simplify Data Access for AI in Multi-Cloud
ChanChan Mao (Developer Advocate) and Bin Fan (VP of Technology) guide you through using Alluxio to greatly simplify data access and make model training and serving more efficient in hybrid or multi-cloud environments. Additionally, learn how to run PyTorch to read datasets and write checkpoints to remote storage with Alluxio as the distributed data access layer
Got a tech question for the Alluxio Community? Chat with us on Slack!
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If you like our product, please give it a star on GitHub, and share the goodness!
WHITEPAPERs
Rise of the Data Access Layer for Analytics & AI
Choosing the Right Architecture for Enterprise AI Workloads in Production
HOT JOBS
We currently have 30+ opportunities across the globe! Learn more about our job openings in Customer Success, Sales, Product, and Engineering teams. Are you awesome or know of anyone to refer? Check out the full list of opportunities and apply here.
Software Engineer Manager (Foster City, California)
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Software Quality Engineer (Foster City, California)
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