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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

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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

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