Machine Learning Algorithms & Natural Language Processing
Jul 24, 2026 · Artificial Intelligence
How BigMac Breaks the Memory‑Throughput Trade‑off in Multimodal LLM Training
BigMac introduces a dependency‑safe nested pipeline that keeps the LLM schedule intact while inserting encoder and generator work, achieving 1.08‑1.9× speedup and stable GPU memory usage across large‑scale multimodal LLM training workloads.
BigMacmemory efficiencymultimodal LLM
0 likes · 17 min read