News & Insights
Editorial perspective on the decisions that actually shape edge AI deployments — constraints, toolchains, thermals and operations. We do not publish invented benchmarks.
· 6 min read
Published throughput figures use different precisions and sparsity assumptions. Here is what the current generation of edge parts states, and what those numbers do not tell you.
Read article· 7 min read
Three routes dominate edge AI deployments today. The right one usually follows from your camera count, your software stack and who maintains the site.
Read article· 6 min read
Parameter count and licence decide feasibility before performance does. A look at Mistral Small 3, Phi-4, SmolVLM and the runtimes that serve them.
Read article· 5 min read
Cameras from Axis and Hanwha Vision now classify objects on the device. That changes where the inference workload should sit.
Read article· 5 min read
K3s and balenaCloud take different routes to the same problem: getting a new model onto hundreds of devices without visiting any of them.
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