Categories: FAANG

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure

We design and implement AXLearn, a production deep learning system that facilitates scalable and high-performance training of large deep learning models. Compared to other state-of-art deep learning systems, AXLearn has a unique focus on modularity and support for heterogeneous hardware infrastructure. AXLearn’s internal interfaces between software components follow strict encapsulation, allowing different components to be assembled to facilitate rapid model development and experimentation on heterogeneous compute infrastructure. We introduce a novel method of quantifying modularity via…
AI Generated Robotic Content

Recent Posts

SamsungCam UltraReal – Qwen-Image LoRA

Hey everyone, Just dropped the first version of a LoRA I've been working on: SamsungCam…

5 hours ago

40 Best Early Amazon Prime Day Deals on WIRED-Tested Gear (2025)

Amazon Prime Day is back, starting on October 7, but we’ve already found good deals…

6 hours ago

These little robots literally walk on water

HydroSpread, a breakthrough fabrication method, lets scientists build ultrathin soft robots directly on water. These…

6 hours ago

VHS filters work great with AI footage (WAN 2.2 + NTSC-RS)

submitted by /u/mtrx3 [link] [comments]

1 day ago

Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data

Imbalanced datasets are a common challenge in machine learning.

1 day ago

Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5

Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline…

1 day ago