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Architecture
55 posts
Designing AI Data Pipelines: The Local Document Approach
A new reference architecture emphasizes local document pipelines for AI data processing, focusing on simplicity, robustness, and version control.
How AI Systems Create New Dependency Mapping Problems
Understanding how AI systems create dependency mapping problems reveals hidden biases and ethical concerns that challenge our trust and accountability in technology.
Why AI Architecture Review Boards Are Growing Fast
For organizations prioritizing ethical AI, AI Architecture Review Boards are expanding rapidly to ensure responsible innovation and societal trust.
Apple Silicon’s Quiet Memory Advantage
Apple Silicon offers a unique, cost-effective way to run large AI models locally, thanks to its unified memory architecture, despite slower bandwidth.
Apple Silicon’s Quiet Memory Advantage
Apple Silicon offers a unique advantage in running large AI models locally due to unified memory, despite lower bandwidth compared to NVIDIA GPUs.
Why Model Serving Architecture Is Becoming Multi-Layered
You’re seeing model serving architectures become multi-layered because they better handle the…
What Distributed Architecture Means in an AI Agent Era
Unlock the secrets of distributed architecture in AI agents and discover how it transforms system scalability and resilience, but challenges remain—read on to learn more.
Disk Is the Contract: Inside Threlmark’s Local-First Architecture
Threlmark treats local disk storage as the definitive source of truth, simplifying sync and enhancing offline use. This report explores its design and implications.
Why Workload Placement Is a Bigger AI Architecture Issue Than Ever
A crucial challenge in AI architecture today is workload placement, as it impacts performance and costs—discover why mastering this issue is more important than ever.