Open Model Lab
Training / Inference Systems Efficiency
Add systems and profiling knowledge to make research experiments more efficient.
Gate status
- Target
- July 2027
- Status
- planned
- Report
- Results pending
Success criterion
The main bottlenecks slowing model research infrastructure can be measured and improved.
Focus
- Latency.
- Throughput.
- Batching.
- KV cache.
- Quantization.
- FlashAttention.
- PyTorch profiling.
- Basic Triton kernel experiments.
- Cost/latency/quality trade-offs.
Expected outputs
- systems_efficiency module.
- Profiling and optimization comparison table.
- Report: practical systems bottlenecks in open-model experiments.
Stage completion decision
Which bottlenecks most affect experiment velocity and cost?