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Overview
Alluxio is a high-performance distributed caching layer built for large-scale AI workloads. Alluxio maximizes I/O throughput and minimizes I/O latency for model training, model deployment, inference cold starts, feature store queries and more — all without replacing your existing storage.
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Announcing the 2025 Intellyx Digital Innovator Award Winners
AMSTERDAM, NETHERLANDS, JUNE 10, 2025 - In today's confusing and messy enterprise software market, innovative technology solutions that realize ...
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Storage news round-up - May 29
Alluxio, supplier of open source virtual distributed file systems, announced Alluxio Enterprise AI 3.6. This delivers capabilities for model distribution, model training checkpoint writing optimization, and enhanced multi-tenancy support. It can, we're to
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Alluxio new Release Enterprise AI 3.6
Alluxio new release Enterprise AI 3.6 accelerates model distribution, optimizes model training checkpoint writing, and enhanced multi-tenancy support.
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Alluxio 3.6 improves AI model distribution & checkpoint speed
Alluxio launches Enterprise AI 3.6, boosting model distribution, training checkpoint speeds, and multi-tenancy with new caching and management features.
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Technologies
Tech DNA
Java
C++
Go
Hadoop
LangChain
PyTorch
AWS
Azure
GCP
AI/ML
C++
Python
Kubernetes
Wikipedia
AWS
Azure
GCP
Amazon S3
Hadoop
CI/CD
Jenkins
VMWare
AI Agents
LangChain
PyTorch
RAG
Ray
TensorFlow
Triton
Spark
Other
Java
Go
Salesforce
Stack modernity
77/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Java
6 jobs
Required
C++
5 jobs
Required
Kubernetes
4 jobs
Required
Wikipedia
3 jobs
Required
GCP
2 jobs
Required
Azure
2 jobs
Required
AWS
2 jobs
Required
Hadoop
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
22%
CI/CD
18%
AWS
17%
Kubernetes
16%
AI Agents
14%
GCP
13%
Share of companies in the same industry that use each technology.
Stack changes
VMWare
Sep 2026
Spark
Sep 2026
Hadoop
Sep 2026
Amazon S3
Sep 2026
Wikipedia
Sep 2026
Triton
Sep 2026
TensorFlow
Sep 2026
Salesforce
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
58/100
Growing
Open positions
7
0 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
09/04/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
QA
100% ▼
Activity Timeline
Added VMWare to stack
Sep 2026
Added Spark to stack
Sep 2026
Added Hadoop to stack
Sep 2026
Added Amazon S3 to stack
Sep 2026
Added Wikipedia to stack
Sep 2026
Added Triton to stack
Sep 2026
Added TensorFlow to stack
Sep 2026
Added Salesforce to stack
Sep 2026
Added Ray to stack
Sep 2026
Added RAG to stack
Sep 2026
Added PyTorch to stack
Sep 2026
Added LangChain to stack
Sep 2026
Jobs
In office • Full-Time • 8+ years exp • Bachelor's Degree
Go
Java
Python
AWS
Azure
CI/CD
GCP
Jenkins
Apply
Staff Software Engineer-Distributed System Development(Beijing/Shanghai)
Verified live · 2 days ago 11 months agoIn office • 1+ year exp • Bachelor's Degree
C++
Java
Apply
≈ $134k – $241k per year (Estimated) • Equity • Remote/Hybrid • Full-Time • 5+ years exp • Foster City
AI Agents
LangChain
PyTorch
RAG
Ray
TensorFlow
Triton
Wikipedia
DevOps
AWS
Azure
GCP
Kubernetes
Marketing
Salesforce
Apply
≈ $138k – $248k per year (Estimated) • Remote/Hybrid • Full-Time • Bachelor's Degree • Foster City
C++
Java
Hadoop
Wikipedia
DevOps
Amazon S3
Kubernetes
Apply
≈ $164k – $307k per year (Estimated) • Remote/Hybrid • Full-Time • Bachelor's Degree • Foster City
C++
Java
Hadoop
Wikipedia
DevOps
Amazon S3
Kubernetes
Apply
Sr. Staff Software Engineer - Distributed System Development (Beijing)
Verified live · 2 days ago 2 years agoIn office • Full-Time • 2+ years exp • Bachelor's Degree • Beijing
C++
Java
Apply
In office • Full-Time • Bachelor's Degree
C++
Java
Spark
DevOps
Kubernetes
VMWare
Apply

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