5 Ways to Run AI Agents on Oracle Cloud Free Tier (4 ARM Cores, 24GB RAM) Oracle Cloud's Always Free tier includes a single Ampere A1 Compute instance with 4 ARM64 cores and 24 GB RAM -- permanently free. A comparable AWS t4g.xlarge costs ~$110/month. Here are five AI agent use cases you can run on it today, with step-by-step commands, resource usage estimates, and the ARM-specific gotchas that catch most people the first time. Use Case 1: Vector Database + Embedding Server (Qdrant + sentence-transformers) Why 4 ARM Cores / 24 GB Fits Qdrant uses approximately 1.5-2 GB RAM for 1 million 768-dimensional vectors. With 24 GB total, you can store 10-12 million vectors and still have 10 GB available for the embedding model. The all-MiniLM-L6-v2 model requires only ~80 MB loaded; all-mpnet-base-v2 needs ~420 MB. Both fit comfortably alongside Qdrant. 4 ARM cores handle embedding inference at roughly 500-800 sentences/second for MiniLM -- more than sufficient for a personal AI research stack.…