Tag: AI inference
Custom AI Chips Are Changing the Inference Race
Custom AI chips are moving from an experiment to a product strategy because inference has become the daily bill for modern AI.…
AI Agent Hardware: Why Efficiency Is the New Benchmark
AI agent hardware is becoming an efficiency problem, not only a scale problem. A useful agent can read a long context, reason…
On-Device AI in 2026: Why Neural Engines Are Growing Up
On-device AI has moved past the demo phase. Phones, laptops, and edge appliances now reserve silicon for local inference, but the useful…
AI Video Models Are Forcing a New Inference Stack
AI video models are forcing teams to treat inference as a full production system, not a GPU attached to a prompt box.…
Local AI Hardware in 2026: The Desk Is Becoming a Data Center
Local AI hardware is no longer a niche setup for people compiling kernels in a garage. In 2026, the desk can host…
Distributed AI Inference: Why One Benchmark Is Not Enough
Distributed AI inference does not reduce to a single tokens-per-second number. Production serving mixes prompt prefill, token-by-token decode, bursty traffic, long contexts,…
AI Inference Hardware: Why It Gets Its Own Computer
AI inference hardware is becoming its own product category, not a leftover use for training GPUs. Serving a modern reasoning model means…