AI Infrastructure SoftwareWanchao Liang et al. (Meta)Meta

Meta presents TorchTitan

TorchTitan presented — modular 3D parallelism and elastic scaling. An additional 30% speedup with 3D parallelism for 405B on 512 GPUs

Why it matters

The point at which a PyTorch-native training framework became established as an alternative to Megatron-LM. FSDP2, torch.compile and FP8 were bundled into a single stack

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2410.06511

Added in Week 35, 2026 · See that week

Same week

Xi Jiang et al. release the MMAD benchmarkPaperAIST announces ABCI 3.0OfficialGENIAC selects 20 AI foundation model projects and 3 data-use demonstrationsOfficialHKU releases LightRAGPaper

Nearby on the same axis

Tanishq Kumar et al. publish "Scaling Laws for Precision"PaperThe Llama 3 Herd of Models publishedPaperFlashAttention-3 publishedPaperTo FP8 and Back Again publishedPaper