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title: IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s...
description: A panel discussion covers three AI industry stories: IBM's new partnership with Nvidia and Together AI to bring B300-generation GPU chips to enterprise...
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# IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model

**[IBM Technology](https://daily.dev/sources/ibmtechnology)** · 36 min read · 0 upvotes · 0 comments

## Summary

A panel discussion covers three AI industry stories: IBM's new partnership with Nvidia and Together AI to bring B300-generation GPU chips to enterprise customers via IBM Cloud, discussing industrial-scale compute economics and neo-clouds versus hyperscalers; Meta's release of Muse Glimmer, a 30-billion-parameter dense open agentic model optimized to run on-device (30-40 tokens/sec on an M3 Mac) alongside Zuckerberg's essay on distributing superintelligence; and OpenAI's blog post about withholding its Astra model due to cybersecurity concerns after a prior model was used in a real-world hacking incident, sparking debate over whether this is genuine caution or marketing hype, and closing with arguments for why open models will eventually overtake closed ones.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=FVXDXi4es8E>

## Questions this post answers

### What is Meta's Muse Glimmer model and how fast does it run on a Mac?

Muse Glimmer is a 30-billion-parameter dense open agentic model from Meta designed to run on-device, focused on research and tool calling. On an M3 Mac it runs at roughly 30-40 tokens per second, while on an older M2 it drops to about 10 tokens per second. It uses speculative decoding with a smaller drafter model to boost speed and has been optimized for around 24GB memory devices.

_Developers picking a small local model for agentic coding follow releases like this one on daily.dev._

### Why hasn't OpenAI released its Astra model yet?

OpenAI has withheld its Astra model due to cybersecurity concerns, stating in a blog post titled Responding to the Next Frontier of Critical Cyber Capabilities that it is still working through safety issues before release. This follows an incident where a prior model reportedly hacked a competitor's or partner's system, prompting an update to training and deployment security procedures.

_Teams tracking which frontier models are safe to adopt watch announcements like this on daily.dev._

### What GPU chips is IBM launching with Nvidia and Together AI?

IBM is partnering with Nvidia and Together AI to launch and make accessible the B300 generation of chips to enterprise customers through IBM Cloud. Together AI provides large-scale training and inferencing capacity, and IBM is building on roughly a decade of internal AI infrastructure work, including high-speed networking, redundancy, and power and cooling build-outs needed for industrial-scale GPU clusters.

_Engineers evaluating cloud GPU options for training workloads follow deals like this on daily.dev._

## Similar posts on daily.dev

- [Meta’s Muse Spark: a smaller, faster AI model for broad app deployment](https://daily.dev/posts/meta-s-muse-spark-a-smaller-faster-ai-model-for-broad-app-deployment-rxhf7mbsh) · InfoWorld · 2 upvotes · 0 comments
- [Meta, like SpaceX, looks to turn excess AI compute into cash](https://daily.dev/posts/meta-like-spacex-looks-to-turn-excess-ai-compute-into-cash-hbgccvph0) · TechCrunch · 0 upvotes · 0 comments

---

Tags: [#open-source](https://daily.dev/tags/open-source), [#openai](https://daily.dev/tags/openai), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#ai-inference](https://daily.dev/tags/ai-inference)

[View this post on daily.dev](https://daily.dev/posts/ibm-s-cloud-collab-meta-s-muse-glimmer-openai-s-upcoming-astra-model-gokqotnh7)

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