In agentic infrastructure, AI workloads, and Agents as a whole, networking is 90% of what you need to get right. It encompasses the security aspect of AI, how traffic flows in and out
Knowing what LLM you're routing to, whether or not failover for more expensive tasks exists, what LLMs are available, and policy enforcement/implementation for the people accessing LLMs are critical pathways
As of 09/02/2026, the ActorTemplate object no longer exists. It was created, as the name suggests, to be the template/golden template that Actors use to deploy with particular settings and
Open Weight Models (Qwen, DeepSeek, Kimi) need a place to run that gives the ability to have shareable GPUs, a first-class orchestration/scheduler, and traffic routing capabilities that engineers are comfortable with.
Cost is everything. In just about every agentic conversation, the three things that come up for enterprises implementing AI workloads are:
1. Cost
2. Observability
3. Security
and as AI continues to throw
