Megatron-LM / mfsdp_v2
AGENTS.md18k starsChanged 22 days agoLicence not identifiedView on GitHub
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- Cloud Codes“Nemotron 3.5 Lightning: Why 46 of 52 Layers Aren't Transformers”YouTube · Aug 13, 2026 · 74k views
- SyntaxGTM (Tom Granot)“Open Models: How to Own Your AI | Kari Ann Briski, NVIDIA”YouTube · Oct 9, 2026 · 29k views
- Stanford MLSys Seminars“Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83”YouTube · Oct 31, 2023 · 18k views
- NVIDIA Developer“From Data to Deployment: Building European AI at Scale”YouTube · Nov 12, 2025 · 2k views
- Tech Cindy“Nvidia's new AI can build LLMs cheaper! Upcycling MoE explained by Ethan He”YouTube · Oct 23, 2024 · 1k views
The biggest 5 of 60 mentions linking to the repository that our crawl found. Each line is their own headline.
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On GitHub · 41
- Sep 2, 2026[recipe] feat: preview DeepSeek-V4 exact 0-diff true-on-policy RL on Megatron and vLLM — verl-project/verl14 reactions · 2 comments
- Nov 12, 2025[algo] feat: support router replay — verl-project/verl11 reactions · 11 comments
- May 20, 2025[RFC] validation and evaluation in torchtitan — pytorch/torchtitan9 reactions · 5 comments
- Jan 13, 2023Will Megatron-DeepSpeed rebase from https://github.com/NVIDIA/Megatron-LM in the future? — deepspeedai/Megatron-DeepSpeed7 reactions · 6 comments
- Aug 29, 2025Potential Issue with Qwen2VisionModel RoPE — NVIDIA-NeMo/Speech6 reactions · 16 comments
36 more on GitHub
- Dec 26, 2025[PyTorch]Add Casting-Free FP8-Flow-MoE Blockwise Optimizations — NVIDIA/TransformerEngine5 reactions · 11 comments
- Oct 24, 2024[RFC] MOE design in Torchtune — meta-pytorch/torchtune5 reactions · 8 comments
- Oct 25, 2021libai 设计文档 — Oneflow-Inc/libai5 reactions · 14 comments
- Sep 22, 2026📣 [Announcement] Megatron Bridge will be consolidated with Megatron LM — NVIDIA-NeMo/Megatron-Bridge4 reactions · 3 comments
- Mar 7, 2025feat: add training parallelism: DP,MP(TP,SP,PP,EP) — ai-bot-pro/achatbot4 reactions · 3 comments
- Dec 18, 2023Supervised Fine-tuning for HugginFace pretrained weight. — deepspeedai/Megatron-DeepSpeed4 reactions · 7 comments
- Feb 20, 2021[WIP] Add Megatron-11B — huggingface/transformers4 reactions · 8 comments
- Dec 15, 2025Introduce Megatron-style parallel state management — deepspeedai/DeepSpeed3 reactions · 10 comments
- Dec 6, 2025[Draft] Update Megatron patch to work for Megatron v0.15.0 — THUDM/slime3 reactions · 2 comments
- Aug 30, 2024Memory Leak when using nn.Module hooks and thunder.jit — Lightning-AI/lightning-thunder3 reactions · 2 comments
- Aug 4, 2022Fused Softmax Kernels — huggingface/transformers3 reactions · 8 comments
- Sep 2, 2021syncing with the upstream? — deepspeedai/Megatron-DeepSpeed3 reactions
- Sep 1, 2026nightly test fail after mbridge bump in #3906 — NVIDIA-NeMo/RL2 reactions
- Jun 8, 2026[chore] move megatron-core from dev latest to main latest, bump megatron-bridge to latest — NovaSky-AI/SkyRL2 reactions
- May 8, 2026[NeMo FW 26.06 Release] MBridge v0.5.0 Roadmap — NVIDIA-NeMo/Megatron-Bridge2 reactions
- Apr 2, 2026Nemotron-CLIMB data curation recipe — NVIDIA-NeMo/Curator2 reactions · 4 comments
- Mar 31, 2026[megatron] feat: support cp for bshd format — verl-project/verl2 reactions
- Mar 9, 2026megatron compatibility issues with linear_attn — alibaba/ROLL2 reactions
- Feb 6, 2026Fix on TE to support Mcore Vision Encoder CUDA Graph — NVIDIA/TransformerEngine2 reactions · 2 comments
- Dec 4, 2025build: make mamba and nv-grouped-gemm optional dependencies — NVIDIA-NeMo/Megatron-Bridge2 reactions · 2 comments
- Aug 29, 2025[PyTorch] fix cross entropy vanishing gradients — NVIDIA/TransformerEngine2 reactions · 4 comments
- Jun 12, 2025[RFC] To resolve CPU memory peak in checkpointing process: migration to megatron dist_ckpt? — verl-project/verl2 reactions · 2 comments
- Jul 12, 2024dataloader hangs with fork and pin memory=True — pytorch/pytorch2 reactions · 2 comments
- Sep 26, 2021Add same_shape case for BiasDropout — microsoft/onnxruntime2 reactions · 6 comments
- Oct 21, 2026feat(jt): 为纯 AdamW 接入路由偏置更新 — hf1s/hyper-parallel1 reaction · 1 comment
- Oct 8, 2026Guard zero-gradient blocks in the default FP8 block-scaling recipe — NVIDIA/TransformerEngine1 reaction · 4 comments
- Oct 5, 2026add megatron core inference as a new inference backend — verl-project/verl1 reaction · 1 comment
- Sep 29, 2026Deterministic MoE Router Kernel By Removing Global Atomic Ops — NVIDIA/TransformerEngine1 reaction · 8 comments
- Aug 10, 2026Optionally pad QK/V for better kernel selection — NVIDIA/TransformerEngine1 reaction · 11 comments
- Jul 31, 2026[PTQ] Store FP32 global scaling factors (absmax or scale_inv) for all quantized activations and weights. — NVIDIA/TransformerEngine1 reaction · 21 comments
- May 14, 2026[megatron, ckpt] feat: add Qwen3.5 Megatron-FSDP SFT example — verl-project/verl1 reaction
- Mar 22, 2026Overlap-param-gather Muon — nmntz/Megatron-LM1 reaction · 1 comment
- Feb 4, 2026[megatron][perf] Integrate megatron dynamic context parallelism — NovaSky-AI/SkyRL1 reaction · 1 comment
- Mar 13, 2025[REQUEST] support Megatron-LM — SwanHubX/SwanLab1 reaction · 4 comments
- Jul 9, 2024Provide shutdown() method for ProcessGroupGloo distributed backend — pytorch/pytorch1 reaction
- Nov 26, 2021[cpp extension] making it possible to parallelize the building process — pytorch/pytorch1 reaction · 1 comment
On YouTube · 18
- Aug 13, 2026Nemotron 3.5 Lightning: Why 46 of 52 Layers Aren't Transformers — Cloud Codes74k views · 36 comments
- Oct 9, 2026Open Models: How to Own Your AI | Kari Ann Briski, NVIDIA — SyntaxGTM (Tom Granot)29k views · 3 comments
- Oct 31, 2023Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83 — Stanford MLSys Seminars18k views · 7 comments
- Nov 12, 2025From Data to Deployment: Building European AI at Scale — NVIDIA Developer2k views
- Oct 23, 2024Nvidia's new AI can build LLMs cheaper! Upcycling MoE explained by Ethan He — Tech Cindy1k views · 1 comment
13 more on YouTube
- Nov 12, 2025Livestream: From Data to Deployment Building European AI at Scale — NVIDIA Developer785 views · 3 comments
- Oct 29, 2024[Paper Club] Upcycling Large Language Models into Mixture of Experts — Latent Space613 views · 4 comments
- Jul 1, 2026NVIDIA Megatron-LM GitHub Guide: Billion-Parameter Transformer Training — Alex Hitt247 views
- Mar 10, 2026Scalable MoE Training with NVIDIA Megatron Core — Vinh Nguyen241 views
- Mar 18, 2026Slime Framework Review 2026: RL Scaling for LLMs and VLMs — Blueprint Bytes170 views
- Apr 30, 2026🔥 nvidia just open-sourced Megatron LM and devs are #Shorts — Nightly Bits148 views · 1 comment
- Mar 10, 2026[Podcast] Scalable MoE Training with NVIDIA Megatron Core — Vinh Nguyen124 views
- Apr 10, 2026🔥 3 things devs don't know about Megatron-LM #Shorts — Nightly Bits120 views · 1 comment
- Nov 30, 2023NVIDIA/Megatron-LM - Gource visualisation — Gourcer89 views
- Mar 28, 2026Building Pipeline Parallelism from First Principles for Interviews: Step-by-Step Deep Dive — CloudStation202025 views
- Oct 15, 2026HAMi: Heterogeneous GPU Sharing on Kubernetes, Megatron LM | GitHub Curated Picks | 2026-10-14 — Insight AI14 views
- Jul 1, 2026NVIDIA/Megatron-LM — 20 stars today on GitHub — DevTrends Daily14 views · 1 comment
- Sep 12, 2026System Design Primer, ArmorPaint & Megatron Core | GitHub Picks | 2026-09-11 — Insight AI10 views
On Stack Overflow · 1
- Oct 6, 2016Keras uses way too much GPU memory when calling train_on_batch, fit, etc22 votes
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- megatron/core/models/hybrid/AGENTS.mdAGENTS.md
- batch-and-test-mergequeue-prsSkill
- mcore-build-and-dependencySkill
- mcore-bump-base-imageSkill
- mcore-cicdSkill
- mcore-create-issueSkill
- mcore-determinism-debugSkill
- mcore-linting-and-formattingSkill
- mcore-migrate-gpt-to-hybridSkill
- mcore-onboard-gb200-1node-testsSkill
- mcore-run-on-slurmSkill
- mcore-split-prSkill
- mcore-testingSkill
- nightly-syncSkill
- pr-reviewSkill
- respond-to-issueSkill
- update-golden-valuesSkill
The file
We split this AGENTS.md into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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