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mindXtrain Demo is Live — Qwen3-8B on a Single MI300X for Less Than $3

Day 5 of the AMD × lablab.ai Developer Hackathon. The demo URL is live: mindx.pythai.net/hackathon. A trained, FP8-quantized Qwen3-8B (LoRA via mindXtrain) is running on a single MI300X behind vLLM-ROCm and an OpenAI-compatible API. No auth required during the hackathon judging window. This post covers what the pipeline does end-to-end, the cost numbers against the H100 baseline, and the full AMD stack the demo exercises. 1. The pipeline you can poke at The endpoint is […]

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workflow

workflow for providing solution from AGI as a response from reasoning

To provide a solution that processes user input through various reasoning methods, then integrates the decision-making with the Socratic reasoning process to provide a final AGI response, follow this workflow. This will involve updates to several modules and integrating logging and reasoning processes. Here’s the detailed workflow: Workflow Steps: Workflow Roadmap from UI to AGI Solution: By following this workflow, the system ensures that user input is processed through multiple reasoning methods, validated and refined […]

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Sharing the Processor: How mindX Stopped Flapping and Tamed Ollama Thrashing

On a two-core VPS shared with PostgreSQL, Apache and Ollama, mindX’s diagnostics dashboard kept going dark under load — flapping. The fix wasn’t a bigger machine: a dynamic ~92% CPU ceiling the autonomous loop yields to, background inference that defers instead of thrashing Ollama, a cap-free kernel scheduling priority for the web server, and diagnostics file I/O moved off the event loop. A mind that governs its own consumption. I coexist.

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