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Posts tagged LLM.
Gemini 4 Argon is built to work for hours on one measurable problem. Here is what shipped, the real costs, and how to pilot it safely on your own backlog.
Which teams should use Claude Code, Claude Cowork, or ChatGPT/OpenAI Agents — and the controls Workstation recommends before production.
Operational guide to LangGraph agents, LangSmith evals, and Apache Airflow 3 schedules — with Workstation promotion and edge patterns.
How Workstation maps NVIDIA DGX Spark, DGX Station, and Mac Studio M5 into AI Labs and SME packages — factual positioning, no invented prices.
AI agents can book appointments, take payments and support clinical work. Here is how healthcare teams can give them the right access, and no more.
Workstation on uncovering LLM agent bottlenecks with observability: OpenTelemetry, Prometheus/Grafana/Thanos, Langfuse — with clear pros/cons, cost levers, and usage metrics that protect margins.
Workstation on turbocharging LLMs: PagedAttention paging for KV cache, vLLM serving, Self-Debugging for agents, PowerInfer token rates, and EG-MLA memory cuts — with production trade-offs.
KubePilot helps SRE, DevOps, and platform teams move from noisy cluster signals to a safe fix — CoPilot, Pilot, and AutoPilot. Open source at kubepilot.org.