cluster
Applied Workloads
Sprint priority 2. Building agentic automations and applied AI workloads that run on Lyceum: agents behind the OpenAI-compatible API, serverless execution with scale to zero, batch fan-out, document pipelines, image and video generation. EU-hosted agents for GDPR contexts.
7 articles
Subclusters
Articles
June 7, 2026
GPU Vector Database Cloud Integration: Architecture Guide
Vector databases are hitting the billion-vector scale, and CPU-bound indexing is choking under the load. Moving vector search to GPUs cuts index build times by up to 17x, but deploying this infrastructure requires strict attention to data sovereignty and cost control.
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 5, 2026
RAG Pipeline GPU Infrastructure: The Engineering Guide
You built a RAG pipeline. It retrieves 20 chunks, sends 32,000 tokens to the LLM, and your GPU throws an Out of Memory (OOM) error. Memory management in RAG is not a software problem. It is a hardware budget.
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.
May 30, 2026
Deploy Whisper Large v3 GPU API: VRAM, Performance & EU Hosting
Running Whisper Large v3 in production requires strict VRAM management and optimized inference engines. For European teams, it also demands provable data sovereignty.