---
author: "Umesh Malik"
canonical: "https://umesh-malik.com/blog/tag/meta-ai"
description: "Explore articles tagged with Meta AI by Umesh Malik — AI Engineer, LLM & GenAI Developer. Learn Meta AI best practices, practical tips, and in-depth guides."
title: "Umesh Malik's Blog - Meta AI Articles | Meta AI Tutorials"
tokens: 289
generator: "scripts/generate-page-markdown.mjs"
---

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# Meta AI

2 articles

 [![Cover showing the PCIe bottleneck in traditional GPU-NIC architecture versus MTIA 300's built-in NIC design that delivers 1.2 TB/s without CPU mediation](https://umesh-malik.com/blog/eliminate-pcie-bottleneck-ai-training-cover.png)

AI Engineering • Aug 25, 2026

### Fix the PCIe Bottleneck in AI Training: How Built-in NICs Work

Fix the PCIe bottleneck in AI training with built-in NICs. Meta's MTIA 300 reclaims 1.2 TB/s by eliminating host CPU mediation.

9 min read

Read more →](https://umesh-malik.com/blog/eliminate-pcie-bottleneck-ai-training)

 [![Muse Glimmer 30B memory ladder showing 55GB at full precision shrinking to under 20GB with 4-bit K-Quant compression](https://umesh-malik.com/blog/run-muse-glimmer-30b-locally-cover.png)

AI Coding Agents & DX • Aug 11, 2026

### Run Muse Glimmer 30B locally: 55GB shrinks to under 20GB

How to run Muse Glimmer 30B locally: the K-Quant setup that fits a single 24GB GPU, the drafter model that triples decode speed, and where it breaks.

8 min read

Read more →](https://umesh-malik.com/blog/run-muse-glimmer-30b-locally)