NetX-lab / Frontier
Frontier: A Discrete-Event Simulator for Modern LLM Serving
Why this job: matched by what the repo talks about: llm, serv, frontier, modern





What it does
- Co-located & Disaggregated Serving. This branch supports monolithic co-location, PDD serving, and AFD serving with separate prefill, decode-attention, and decode-FFN roles.
- Modern Runtime Optimizations. Frontier captures production techniques such as CUDA Graph, speculative decoding / MTP, prefix caching, quantization, chunked prefill, and hierarchical caching as part of the scheduler-batch-engine loop. These
- Fidelity. Frontier combines calibrated operator, communication, transfer, and KV-cache memory models to make simulation results useful for deployment decisions. This helps users compare configurations under SLA constraints, explore large GP
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 176
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1 releases
- None marked latest
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 80% closed
- 2 still open
- Pull requests
- 30 merged
- 2 waiting
- Releases
- 1
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- inference
- llm
- simulation
- performance
- serving-infrastructure
Project record
- JobLocal LLMs
- StatusListed
- Commits877
- Forks27
- Watching1
- Stars in 28 days+12
- CreatedMay 21, 2026
- First seen by usNov 7, 2026
- CheckedNov 12, 2026
