Dear Alluxio Community,
Welcome to our newsletter! We've packed this edition with valuable insights, upcoming events, and on-demand content to keep you at the forefront of AI.
🚀 Announcing Alluxio Enterprise AI 3.7
Our latest Alluxio AI 3.7 release delivers powerful features designed to supercharge your AI infra while keeping your data secure. Bridging the gap between storage and latency, this release enables sub-ms time to first byte latency through Alluxio Ultra Low Latency Caching.
Check out our blog post that details these enterprise ready features:
- Alluxio Ultra Low Latency Caching for Cloud Storage
- Role-Based Access Control (RBAC) for S3 Access
- 5X faster Cache Preloading with Alluxio Distributed Cache Preloader
- FUSE Non-Disruptive Upgrade
- Alluxio WebUI & Comprehensive Audit Log
Product Webinar | Wednesday, August 13 at 11 AM PT
Join the live webinar with Jingwen Ouyang, Senior Product Manager at Alluxio, where she will walk you through how Alluxio Enterprise AI 3.7 can transform your AI infrastructure, ensuring your AI workloads run at peak performance.
💡 Customer Spotlight
Inferless Slashes AI Model Loading Time by 12x in LLM Serving Infrastructure Using Alluxio
In this blog, Nilesh Agarwal, Co-founder & CTO at Inferless, shares how they solve critical I/O bottlenecks in LLM inference by implementing Alluxio. Discover how this partnership tackles the "cold start" problem, boosting performance, cutting costs, and delivering enhanced customer experiences & SLAs.
📖 Good Reads
Dive into these inspiring articles and white papers from the Alluxio team and beyond
Technical Blog | Alluxio Demonstrates Strong Performance in MLPerf Storage v2.0 Benchmarks
In the latest MLPerf Storage v2.0 benchmarks, Alluxio demonstrates strong performance in both data loading and checkpointing, achieving up to 99.57% GPU utilization across multiple workloads that typically suffer from underutilized GPU resources caused by I/O bottlenecks.
Product Benchmark | Alluxio vs. FSx Lustre: A Faster, More Scalable File System for AI
If you're currently using or evaluating Amazon FSx for Lustre to accelerate AI workloads, there's something you should know:
💡Customers have reported 40%+ faster training times and 80%+ faster model deployment times with Alluxio compared to FSx. Caching data on your GPU server’s underutilized SSDs and CPU memory, Alluxios provides seamless data access wherever your AI workload is, so your team saves budget on both storage and runtime.
🗓️ Upcoming Events
Mark your calendar for our exciting upcoming events!
In this meetup, we bring you the latest trends in AI infra stack, GPU optimization & management, data caching for AI workloads, agentic AI, model context protocol (MCP), and more!
🎤 Featured Speakers include:
- Sandeep Joshi, Senior Manager @ NVIDIA
- Bin Fan, VP of Technology @ Alluxio
- Ojus Save, DevRel & Partnerships @ Zoom
- Pritish Udgata, Director - AI & MarTech Products @ Adobe
🎥 Recent Tech Talks
Missed a session or want to review your favorite talk? Check out these on-demand videos and slides now
- Optimizing Tiered Storage for Low-Latency Real-Time Analytics at AI Scale
>> In this talk, Songqiao Su, Software Engineer at StarTree, explores the engineering challenges of extending Apache Pinot — a real-time OLAP system—onto cloud object storage while still maintaining sub-second P99 latencies. - Introduction to Apache Iceberg™ & Tableflow
>> Tim Berglund, VP of DevRel at Confluent shares how to build Iceberg up from the basics, explains how the read and write path work, and explores how it supports streaming data sources like Apache Kafka™. - Meet in the Middle: Solving the Low-Latency Challenge for Agentic AI
>> Watch this video as David Zhu, Senior Engineering Manager at Alluxio, introduces a high-performance, low-latency S3 proxy layer powered by Alluxio, deployed atop hyper-scale data lakes.
Thanks for reading. We're excited to see you at one of the events or for the next newsletter!
.png)
