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Agents

4 articles

Articles

June 6, 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.

June 5, 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.

June 4, 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.

June 3, 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.

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Retrieval 2 Speech 1
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