Agents
5 articles
Articles
5 October 2026
Multi-Step Agent Workloads: Latency and Cost Budgets
An agent's latency is the sum of its sequential steps and its cost the sum of its calls, and neither is visible from a single request. This guide sets a task-level latency and cost budget, allocates it across step types, and adds a termination rule before the agent is built.
6 June 2026
Tool Calling Latency in LLM Inference: Production Optimization
Tool calling transforms language models into capable agents, but it introduces massive latency bottlenecks. Learn how to optimize inference engines, reduce token overhead, and deploy high-performance infrastructure.
5 June 2026
Scaling Multi-Agent Orchestration: GPU Memory, Inference, and Costs
Multi-agent systems work flawlessly on a local machine but break under production load. Learn how to decouple orchestration from inference and scale your GPU infrastructure efficiently.
4 June 2026
The 2026 Guide to GPU Infrastructure for AI Agents
Autonomous AI agents demand distributed infrastructure optimized for latency and bursty traffic. Building for agentic workflows requires rethinking VRAM allocation, cold starts, and compliance.
3 June 2026
EU Compliant AI Agent Infrastructure: The 2026 Engineering Guide
Agentic AI multiplies token consumption compared to standard generative AI, because every reasoning step resends the accumulated context. Running these workloads on non-sovereign infrastructure exposes engineering teams to compliance risks and unsustainable hyperscaler costs.