Data, AI, and what comes next
Turning data into decisions and models into production systems — with the infrastructure underneath sized for the work.
Analytics & Big Data
Regardless of the data source, analytic requirement, or deployment environment, BryTech solutions let you turn big data into insight — interactive visual analysis with drill-through, lasso filtering and zooming, an out-of-the-box library of visualizations, and extreme-scale in-memory caching for speed-of-thought analysis.
Cognitive Computing & AI
The cognitive era is an ongoing movement of sweeping technological transformation. Putting cognitive technology to work is easier than you might think — BryTech leads the initiative from proof of value through to production.
AI Data Centers
Environments purpose-built for training and inference: GPU cluster design, high-density power and cooling, low-latency fabric, and storage sized for model workloads — delivered through long-standing NVIDIA, Supermicro, Mellanox and Pure Storage relationships.
AI Engineering
Engineers who put models into production and keep them there — data pipelines, retrieval and fine-tuning, deployment, monitoring, and evaluation. Available as a delivery team or embedded inside your existing program.
Microservices
Building microservices is a project. Building a microservices architecture that connects with legacy IT across multiple environments is a journey. BryTech experience shortens that journey and increases your return.
IoT & Edge Computing
The greater the connectivity, the greater the productivity — but with so many platforms to intertwine, the setup has to be right. Increasing compute at the edge is the foundation for autonomous systems, cutting latency and making real-time analytics practical.
Blockchain
Blockchain is a shared, immutable ledger for recording transactions, tracking assets, and building trust. BryTech turns a blockchain concept into a business-changing reality rather than a pilot that never leaves the lab.
The platforms behind the data and AI work.
Cloud Paks, OpenShift and the data platforms this practice builds on — each with an overview and a downloadable brief.
- IBM
- Red Hat
- HPE
- NetApp