Tag: training efficiency
-
The Register: AMD targets Nvidia H200 with 256GB MI325X AI chips, zippier MI355X due in H2 2025
Source URL: https://www.theregister.com/2024/10/10/amd_mi325x_ai_gpu/ Source: The Register Title: AMD targets Nvidia H200 with 256GB MI325X AI chips, zippier MI355X due in H2 2025 Feedly Summary: Less VRAM than promised, but still gobs more than Hopper AMD boosted the VRAM on its Instinct accelerators to 256 GB of HBM3e with the launch of its next-gen MI325X AI…
-
Hacker News: EMP: Enhance Memory in Data Pruning
Source URL: https://arxiv.org/abs/2408.16031 Source: Hacker News Title: EMP: Enhance Memory in Data Pruning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach to enhancing model memory during data pruning in large models, addressing the challenge posed by Low-Frequency Learning (LFL). This research holds significance for professionals in AI and…
-
Hacker News: Liger-kernel: Efficient triton kernels for LLM training
Source URL: https://github.com/linkedin/Liger-Kernel Source: Hacker News Title: Liger-kernel: Efficient triton kernels for LLM training Feedly Summary: Comments AI Summary and Description: Yes Summary: The Liger Kernel is a specialized Triton kernel collection aimed at enhancing LLM (Large Language Model) training efficiency by significantly improving throughput and reducing memory usage. It is particularly relevant for AI…