Data acceleration for AI/ML with Alluxio
Deliver up to 4x training performance and up to 2x model distribution speed
Why Alluxio for AI/ML Data Acceleration
Alluxio Enterprise AI provides high-performance data access that intelligently manages data locality and caching across distributed environments.
Deliver up to 4x training performance and up to 2x model serving speed compared to commodity storage
Access data from anywhere, with the same performance as local. Enable AI/ML workloads to run wherever most cost-effective environment
Boost GPU utilization to 97%+ by eliminating data stalls. Keep your GPUs continuously fed with data
Provide a software-only solution that utilizes your existing data lake storage without investing in expensive HPC storage
How it works
Alluxio Enterprise AI provides an intelligent caching system that virtualizes across storage in any environment. Alluxio is an on-prem software that can be seamlessly installed in your existing AI and data infrastructure with zero code changes to applications. Sitting in the middle of compute and storage, Alluxio abstracts across storage resources, bringing data closer to compute.
Alluxio works with popular AI frameworks like PyTorch, Ray, Apache Spark, and TensorFlow. Alluxio provides the AI engines with fast access to large amounts of data, whether structured or unstructured, on-prem, in public clouds or with hybrid deployments across regions.
Learn more about Alluxio for AIAlluxio accelerates the process of loading the latest models into GPU-enabled instances. By optimizing data transfer across regions and clouds, Alluxio ensures that your serving infrastructure can quickly access and deploy updated models, reducing latency and improving overall system responsiveness.
During model training, Alluxio efficiently manages your data reads/writes, including datasets, checkpoints, and model weights. Alluxio delivers up to 7.7GB/sec throughput in Natural Language Processing (BERT) and Biomedical Image Segmentation (3D U-Net) tests. It significantly reduces I/O wait times, allowing your GPUs to operate at peak efficiency.
Check out the MLPerf benchmark report