---
title: "IBM and Together AI on IBM Cloud multi-year inference cluster; go live early 2027"
sdDatePublished: "2026-08-15T05:10:00Z"
source: "https://www.ibm.com/think/podcasts/mixture-of-experts/ibm-cloud-meta-muse-glimmer-openai-astra-model"
topics:
  - name: "artificial intelligence"
    identifier: "medtop:20001298"
  - name: "computer security"
    identifier: "medtop:20000229"
  - name: "computer and telecommunications hardware"
    identifier: "medtop:20000226"
  - name: "business strategy and marketing"
    identifier: "medtop:20000192"
  - name: "business restructuring"
    identifier: "medtop:20001366"
locations:
  - "India"
---


IBM and Together AI on IBM Cloud multi-year inference cluster; go live early 2027

IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model | Mixture of Experts | IBM

IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model

This week on Mixture of Experts, our team of panelists talk about big infrastructure changes and small models.

IBM is teaming up with Together AI on a multi-year deal to build a massive inference cluster on IBM Cloud, powered by NVIDIA’s newest chips. The goal: cheaper, faster access to open-source AI models for enterprises, with the cluster expected to go live in early 2027.

Then there’s Meta, which just open-sourced Muse Glimmer—a 30B-parameter model small enough to run locally on your laptop’s GPU. Think coding, function calling, and agent tasks, all without needing the cloud. But as models get smaller, what does it mean for larger AI providers?

And finally, the story that’s got everyone talking: OpenAI says its upcoming Astra model might be hitting “Critical” cybersecurity capability levels, meaning it could potentially find and exploit zero-days on its own. We dig into what that actually means and what guardrails OpenAI is putting up.

All that and more on Mixture of Experts.

1:03 - IBM AI Partnership

11:43 - Meta Muse Glimmer

24:10 - OpenAI’s Astra model

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

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