Inference latency: Why 41B active beats 975B
Learn why 41B active parameters matter more than total count for agent latency. Discover selection criteria for reliable, cost-effective systems.
Learn why 41B active parameters matter more than total count for agent latency. Discover selection criteria for reliable, cost-effective systems.
OpenAI's Jalapeño chip targets a 50% cost drop per token. We analyze the 3nm specs and what proprietary silicon means for your agent stack.
Running a Llama 3.3 70B model locally now hinges on memory bandwidth rather than raw GPU compute, according to June 2026 performance data.