Data Management
World-class storage, built for your data and workload, not the other way around
Every storage solution is designed by engineers who understand data from ingest to archive and every workload in-between.
Ben Trinder
Senior System
Architect
Ben
Trinder
Senior System
Architect
$37.5+ Billion
Global HPC/AI Data Management Market
20% to 40%
Growth rate of data under management in scientific eResearch systems
50% to 100%
Growth rate of data under management in AI and machine learning systems
$37.5+ Billion
Global HPC/AI Data Management Market
What Is Data Management?
What is Data Management?
Data Management is both the process of data capture and protection while also keeping data available for users, processes and workflows. Efficient data management helps manage costs and keeps data protected, secure and available.
How does Data Management work?
Data management considers collection, storage, processing, usage and long term archive and deleting old data. This process is bound by rules of governance like privacy poilicies and GDPR. The process also must consider quality and security at each step of the way.
What are the benefits of Data Management?
Well architected data management is critical to ensuring operational efficiency. If the data is wrong, the decisions are going to be wrong. Timely access to the right data is critical. Even more so in the AI age, deploying AI systems accurately relies on having a foundation of core truth from a single source of data.
Key challenges in Data Management:
Key challenges include security, data quality, breaking down data silos so data is shared across business units, managing the increase in data volumes, and ensuring compliance with privacy regulations including the right to be forgotten (deleted!). AI adds another layer with structing data for AI training and inference key to driving quality results from AI implementations.
How XENON Makes
It Possible
We understand your data challenges today, and your plans for tomorrow
Being vendor agnostic, we bring best-of-breed solutions together in a cost-effective manner to build your data management solution beyond limits.
XENON
Deployment Stories
XENON has been at the forefront of high performance computing solutions since 1996. We work with customers to build beyond limits. These are their stories.
Data Management for
Performance and Scale
Powering critical workloads with the speed, resilience, and scalability today’s most demanding applications require. From eResearch workloads to AI training and complex simulations, we deliver the data infrastructure to take you beyond limits.
The XENON
Architectual Principle
XENON designs data management solutions around clear workload requirements, predictable cost models and real-word scaling plans, so your infrastructure remains controllable and economically defensible over time
Architecture
Blueprints for complex and parallel systems designed around throughput and workloads, not convenience.
Infrastructure
The complete picture. From networking to storage and compute layer, everything designed for harmony.
Data Flows
High-throughput data pipelines that keep your compute cores fed and never idle.
Security & Governance
Zero-trust compliance that protects sensitive workloads.
Production Ready
Real-time performance at sustained petaFLOP scale with the right data management.
Managed Services
Your infrastructure, fully managed so your teams ship results, not ops tickets.
Technology & Vendor
Ecosystem
Modern Data Management is built on ecosystems,
not single vendors.
Technology & Vendor Ecosystem
Modern Data Management is built on ecosystems,
not single vendors.