PROJECT 003 / 2025 —
GPU & LLM Runtime Environment
INFRASTRUCTURE / GPU
Building GPU runtimes for AI experiments and applications while observing practical bottlenecks.
- ROLE
- Environment setup, container operations, performance observation
- STATUS
- ONGOING
- TECHNOLOGY
- DOCKER / LINUX / CUDA / NVIDIA GPU / OLLAMA / NEMOCLAW / NEMOHERMES
IMPLEMENTATION
- 01Docker-based runtime isolation
- 02GPU log and resource observation
- 03LLM execution-condition mapping with Ollama, NemoClaw, and NemoHermes
RESULTS / LEARNINGS
- — A clearer separation between code and runtime
- — A foundation for designing around compute resources