Stories

Completed digest stories linked to this service.

• MCP is turning into the observability and control plane for AI agents — but it s...

  2026-04-16

  AI agents are pushing observability and APIs toward MCP-driven, kernel-level telemetry while exposing fresh se...
• KV-cache compression upends LLM serving economics: 6x memory cut, no retrain

  2026-04-12

  Google’s TurboQuant claims 6x KV‑cache compression for LLM inference with no retraining, turning memory‑bound ...
• Agentic coding grows up: open‑weights MiniMax M2.7 meets Grok’s tool‑calling wor...

  2026-04-12

  Open-weights MiniMax M2.7 and xAI’s tool-calling Grok push agentic coding from demos to production workflows. ...
• LLMOps Part 14: Practical LLM Serving and vLLM in Production

  2026-03-29

  A new LLMOps chapter explains how to serve models in production and walks through practical trade-offs, includ...
• The practical playbook for faster, cheaper LLM inference: vLLM, KV caches, and d...

  2026-03-22

  A hands-on deep dive shows how to speed up and scale LLM inference with vLLM, KV caching, and modern attention...
• Faster, cheaper LLM serving: prompt caching and P-EAGLE in vLLM

  2026-03-14

  Two practical levers promise big LLM serving gains: prompt caching and a reported P‑EAGLE integration in vLLM ...
• Nvidia’s AI GPU dominance: plan for portability and cost control

  2026-01-06

  A YouTube roundup underscores Nvidia’s continued lead in AI accelerators, which drives cloud GPU availability ...

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