Skip To Main Content
Liz Li on Muck Rack

Liz Li

As seen in: LinkedIn, Medium, Color Research & Application, Forbes, Fast Company, MDPI, Flipboard, Towards Data Science, SwimSwam, Mondaq

Get in touch with Liz

Contact Liz, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Articles

Bringing PyTorch Monarch to AMD GPUs: Single-Controller Distributed Training on ROCm

|
By Liz Li, Zachary Streeter, Xinyu Kang
| pytorch.org
Training state-of-the-art large language models (LLMs) with billions of parameters requires distributed training across hundreds or thousands of GPUs. At this scale, hardware failures are not exceptional events—they are expected. A single GPU memory error, network partition, or node crash can bring down an entire training run that has been progressing for days or weeks.
Open in Who Shared Issue with article?

China's 'special forces'-style tourists packing big itineraries in small budgets

|
By Liz Li
| Flipboard
Speculation isn’t a bug in America’s economic code, but a crucial component part of the engine, writes Andrew Ross Sorkin. Good morning, Andrew here. I’m in Los Angeles today on a book tour for “1929.” As I was writing the book, there was always an essay I wanted to write about a counterintuitive …
Open in Who Shared Issue with article?

Power Up Llama 4 with AMD Instinct: A Developer’s Day 0 Quickstart

|
By Liz Li, Andy Luo, Seungrok Jung
| amd.com
AMD is excited to announce Day 0 support for Meta’s latest leading multimodal intelligence Models — the Llama 4 Maverick and Scout models — on our AMD Instinct™ MI300X and MI325X GPU accelerators using vLLM. In this blog we will walk you through a step-by-step guide on deploying Meta’s Llama4 model using vLLM, docker setup, dependencies, and inference testing.
Open in Who Shared Issue with article?
See all 37 articles