Alluxio Tech Stack

Distributed caching layer for AI training, inference, and feature stores

Software Development San Mateo, California 51–200 employees Founded 2015 Privately Held

Alluxio builds a distributed caching layer that sits between AI compute workloads and cloud storage, targeting sub-millisecond latency and TB/sec throughput. The stack (Java, C/C++, Go, Kubernetes, PyTorch, TensorFlow, Ray, Triton) reflects deep systems work across training, inference, and feature-serving infrastructure. Active projects on scaling to thousands of nodes, metadata optimization, and concurrency control — paired with pain points around data durability and GPU efficiency — show the company is solving hard problems in distributed systems reliability and performance, not just plumbing.

Tech Stack 23 technologies

Core StackJava Go AWS C++ Kubernetes PyTorch TensorFlow LangChain Python Linux Docker Salesforce C/C++ GCS HDFS POSIX GCP Azure Ray Triton Pytest Git

What Alluxio Is Building

◆Challenges

Scaling systems to thousands of nodes
Data durability and high availability
Metadata management optimization
Fault-tolerant services design
Distributed i/o performance improvement
Cache strategy in large-scale cloud
Concurrency and locking optimization
Highly available distributed systems
Reducing latency for ai inference
Improving gpu efficiency for training

▲Active Projects

Scaling systems to thousands of nodes
Cache and metadata enhancements
Data path optimization
Distributed systems reliability
Alluxio system development
Cache strategy in large-scale cloud
Concurrency and locking optimization
Ai product strategy roadmap
Ai systems optimization features
Ai ecosystem integration

Hiring Activity

Minimal9 roles · 1 in 30d

Department

Engineering

Product

Sales

Seniority

Senior

Intern

Junior

Staff

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About Alluxio

Alluxio provides a caching layer designed to accelerate data access across the AI lifecycle without requiring code changes or storage replacement. The platform deploys between AI workloads (training jobs, feature stores, inference servers) and persistent storage systems (S3, data lakes, HDFS, NFS), achieving sub-millisecond time-to-first-byte latency and throughput exceeding 1 TB/sec. Founded in 2015 and based in San Mateo, the company operates as a privately held organization with engineering-led development and minimal hiring velocity, indicating a focused team focused on core infrastructure rather than rapid growth.

HeadquartersSan Mateo, California

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States, China

Frequently Asked Questions

What tech stack does Alluxio use?

Java, C/C++, Go, Kubernetes, Python, and Docker form the core. The platform integrates with PyTorch, TensorFlow, Ray, and Triton for AI workloads, and supports AWS, GCP, and Azure for cloud storage backends.

Where is Alluxio headquartered?

San Mateo, California. The company was founded in 2015 and is privately held with 51–200 employees.