In March’s Product School session, Beinan, an Alluxio tech lead, Presto committer, and Trino contributor, shares expert tips for tuning Trino performance. In addition, he demonstrates how to integrate Trino with Alluxio as a caching layer using connectors for Hive, Iceberg, Hudi, or Delta Lake.
In March’s Product School session, Beinan, an Alluxio tech lead, Presto committer, and Trino contributor, shares expert tips for tuning Trino performance. In addition, he demonstrates how to integrate Trino with Alluxio as a caching layer using connectors for Hive, Iceberg, Hudi, or Delta Lake.
Video:
Presentation slides:
In March’s Product School session, Beinan, an Alluxio tech lead, Presto committer, and Trino contributor, shares expert tips for tuning Trino performance. In addition, he demonstrates how to integrate Trino with Alluxio as a caching layer using connectors for Hive, Iceberg, Hudi, or Delta Lake.
Videos:
Presentation Slides:
Complete the form below to access the full overview:
.png)
Videos
Deepseek’s recent announcement of the Fire-flyer File System (3FS) has sparked excitement across the AI infra community, promising a breakthrough in how machine learning models access and process data.
In this webinar, an expert in distributed systems and AI infrastructure will take you inside Deepseek 3FS, the purpose-built file system for handling large files and high-bandwidth workloads. We’ll break down how 3FS optimizes data access and speeds up AI workloads as well as the design tradeoffs made to maximize throughput for AI workloads.
This webinar you’ll learn about how 3FS works under the hood, including:
✅ The system architecture
✅ Core software components
✅ Read/write flows
✅ Data distribution/placement algorithms
✅ Cluster/node management and disaster recovery
Whether you’re an AI researcher, ML engineer, or infrastructure architect, this deep dive will give you the technical insights you need to determine if 3FS is the right solution for you.