When Storage Becomes the Bottleneck

AI Slows Down

Modern AI workloads demand fast, efficient access to massive datasets.

But AI/ML teams face:

Training Delays

due to low-throughput access to remote storage

Slow Inference Cold Starts

increase response time and degrade user experience

Inefficient Data Movement

wastes valuable time, money, and resources.

Rising Data Transfer and Storage Costs

from inefficient data migration between storage and compute.

Your models are getting bigger.

Your pipelines don't have to get slower.

A Distributed Cache Built for AI

Alluxio sits between your compute and persistent storage, acting as a high-throughput, low-latency cache that accelerates I/O-intensive AI workloads.

COMPUTE

CACHE

S3 API

POSIX CLIENT

PYTHON SDK

ALLUXIO

GLOBAL NAMESPACE

DISTRIBUTED CACHING

CLOUD STORAGE

Accelerate the Full AI Lifecycle

From data prep to training to inference, serve data to AI workloads at local NVMe speed

No Data Migration

AI data, cached instantly. No scp, no rsync - just fast, on-demand access while your source of truth data stays put

Works with Your Existing Stack

No rewrites, workflow changes, or replatforming required - S3 API, POSIX, and Python support

Cut Infrastructure Costs

Improve GPU utilization and reduce data movement, egress, and cloud access fees

Alluxio Customer Spotlight

Dyna Robotics

Cutting-edge embodied AI company, Dyna Robotics, improved foundation model training performance by 35% by deploying Alluxio as a distributed caching and data access layer. Faster training enabled more frequent model updates, faster quality improvements, and accelerated commercial rollout of the company's flagship DYNA-1 foundation model.

"

In the highly competitive landscape of embodied AI, having a high-performance, scalable, and reliable AI infrastructure is absolutely critical. Alluxio, as the data acceleration layer for our foundation model training infrastructure, has proven to be an extremely valuable partner in our journey to commercial success.

Lindon Gao
CEO Dyna Robotics

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