System Architecture & Infrastructure

AI System Architecture defines the design and structure of AI systems, ensuring reliability, scalability, and ethical deployment across sectors like education, healthcare, and humanitarian work.

AIOps applies AI and machine learning to automate IT operations, helping mission-driven organizations maintain reliable digital services with limited resources by detecting issues early and optimizing performance.

API Gateways provide a secure, consistent interface between clients and backend services, enabling reliable routing, policy enforcement, and traffic shaping for complex, multi-service systems in various sectors.

Autoscaling and load balancing dynamically adjust computing resources to maintain reliable, cost-effective, and responsive digital services, crucial for mission-driven organizations facing unpredictable demand.

Backups and disaster recovery ensure data and system restoration after failures, supporting mission-driven organizations in fragile contexts to maintain essential services and trust.

Batch processing efficiently handles large data volumes by processing in groups, supporting sectors like health, education, and humanitarian work, especially in resource-limited environments.

Caching and CDNs improve digital service speed and reliability by storing data closer to users, enabling better access in low-bandwidth and dispersed environments for education, health, and humanitarian sectors.

CI/CD for Data and ML automates testing, integration, and deployment of AI models and pipelines, ensuring reliability, speed, and governance for mission-driven organizations in dynamic environments.

Containers and Docker simplify deployment and scaling by packaging applications with dependencies, enabling consistent operation across diverse environments, crucial for mission-driven organizations in resource-limited settings.

CUDA and ROCm are essential GPU software platforms enabling efficient AI development and deployment, supporting cost-effective, accelerated machine learning for health, education, and humanitarian applications.