Models inherit the limits of memory, data movement, storage, identity, permissions, networking and observability. This section connects hardware and infrastructure choices to the behavior readers actually experience.
Featured guides
- AI Accelerators Beyond TOPS
- Local AI Hardware: NPU, GPU or Cloud?
- MCP Is Becoming Infrastructure
- AI Agent Safety
Dell Pro Max with GB10 4 TB Review: Support and Service Around the Same Silicon
Dell’s Pro Max with GB10 combines 128 GB of unified memory and a 4 TB self-encrypting SSD with enterprise support options and a distinctive compact chassis.
AI Accelerators Beyond TOPS: Memory, Bandwidth and Real Workloads
Peak compute is only one part of AI performance. Model fit, memory bandwidth, precision, software and the workload itself often decide what users actually experience.
Apple Mac Studio M5 Ultra Review for Local AI: Memory Bandwidth Changes the Equation
Mac Studio with M5 Ultra offers up to 512 GB of unified memory and 1.2 TB/s bandwidth. It is dramatically faster for some local AI workloads but does not run the CUDA stack.
DGX Spark vs ZGX Nano vs Veriton GN100 vs Dell GB10 vs Mac Studio M5 Ultra
Compare five compact local AI systems by memory, bandwidth, software, networking, service, price and actual availability as of September 2026.
Local AI Hardware: When an NPU Helps — and When You Still Need a GPU or Cloud
NPUs can make supported on-device AI efficient, but model compatibility, memory and software matter more than the label on the laptop.
