Running OpenClaw 2026 on a 4GB Laptop GPU
The Challenge: The 4GB VRAM Wall Running modern LLMs like Phi-4 or Qwen3 on local hardware is becoming a necessity as cloud AI costs continue to add up for power users. However, OpenClaw 2026 now requires a large context window (minimum 12k-16k) to handle its agentic workflows and tool-calling capabilities. On an entry-level NVIDIA T500 (4GB), these large windows usually force the system to spill over into System RAM (CPU mode). When this happens, generation speed drops from sluggish to 5+ minutes per response, making the bot unresponsive. ...