Ai Infrastructure
10 items across the graph — tagged with Ai Infrastructure.
From the graph · 10
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
Semantica 🧠 • Build AI systems that can explain, trace, and justify every decision. Knowledge graphs, context graphs, reasoning engines, provenance, and govern…
AI Infrastructure Junior Engineer Learning Track - Comprehensive curriculum for entry-level ML infrastructure engineers (0-2 years experience)
Unified AI Gateway for 30+ LLMs (OpenAI, Anthropic, Bedrock, Azure etc) with Caching, Guardrails, A/B test & cost controls. Go-native Fastest & Scalable AI Gate…
Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it t…
Route inference across providers.
Portable AI runtime inspired by docker-compose. Compose agents, RAG pipelines, and MCP servers in one YAML file and run them anywhere.
AI Infrastructure Performance Engineer Learning Track - GPU optimization, inference optimization, and cost reduction
⚡ Awesome AI Gateway — curated comparison of 100+ AI gateways & LLM proxies (LiteLLM, OpenRouter, Portkey, Kong, Higress, new-api, Bifrost) by cost, security, c…
High-throughput, self-hostable LLM router in Go. BYO provider keys, k8s-native, key pooling + batch + usage observability.