Observed Signal · Oct 13, 2026 · Market Signal · Source: Tealium · Impact: 2/5
New Blog Post: Choosing Where Inference Runs: A Practical Cost Model for Real-Time Customer Context
Tealium's blog page now features a new post titled 'Choosing Where Inference Runs: A Practical Cost Model for Real-Time Customer Context' under Artificial Intelligence, published in October 2026.
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Tealium Functions adds in-stream intelligence with disruptive new model Jev
Tealium announces a new AI model, Jev, integrated into Tealium Functions for in-stream intelligence, enabling real-time decisioning on customer data.
Inference Inflection: CPU Demand Rises for AI
Latent.Space published an industry analysis on April 30, 2026 arguing that the AI market has entered an "inference inflection" where inference compute (not just training GPUs) is becoming a strategic bottleneck. The piece cites public comments from figures including Sam Altman and Noam Brown, and highlights Intel CEO Lip‑Bu Tan’s Q1 earnings commentary quantifying rising CPU demand. It also references NVIDIA/GTC messaging that inference-driven usage has surged, and describes technical shifts in serving and kernel design (prefill/decode disaggregation, FlashQLA, vLLM/Blackwell co-design). The article surveys recent model and kernel releases (Mistral Medium 3.5, IBM Granite 4.1), LangChain and harness engineering trends, and the broader reshaping of GPU/CPU workload patterns driven by agentic and long‑context applications.
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