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What's happening with qwen

We're tracking 283 stories on qwen across 102 sources — it's actively developing right now, with 10 published in the last 24 hours. 32 stories have been corroborated by 3+ independent outlets. The most-covered angle right now: Alibaba Cloud eyes European gains in global infrastructure build-out – and teases a roadmap for future Qwen AI models (22 sources).

Synthesized live from 102 sources · updated every 15 minutes

283 stories
1 of 5 Top Stories
Breaking
BreakingMedia

Alibaba unveils Zhenwu V900 AI accelerator, claims it's 'the most powerful AI chip in China' — accelerator supports 500,000 chip supercluster with a 10T-parameter Qwen model on the roadmap

Alibaba has unveiled what it claims is China's most powerful homegrown AI chip, a move that underscores Beijing's aggressive push to build world-class artificial intelligence infrastructure independent of American technology. The Zhenwu V900 accelerator is designed to support massive supercluster deployments of up to 500,000 chips, potentially enabling the company to train AI models rivaling those of OpenAI and other Western leaders without relying on restricted foreign components. The announcement signals that China's tech giants are no longer waiting for parity with Silicon Valley—they're racing to achieve dominance in their own corner of the AI arms race.

tomshardware.com favicontomshardware.com·
Related OpenAI Alibaba CloudQwen

8 sources

TechNode faviconTechNodeThe Decoder faviconThe DecoderMarkTechPost faviconMarkTechPost
Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test
Media

Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test

by EcoHash — EcoHash Team·September 29, 2026·9 min read

Medium faviconMedium·
Qwen3.8 Flash-Next vs 27B on a 24GB GPU: which one to run in 2026
Media

Qwen3.8 Flash-Next vs 27B on a 24GB GPU: which one to run in 2026

by Ankit Agrawal — The 27B fits on the card and matches full precision at 4-bit. Flash-Next scores higher but needs 64 to 128GB of system RAM.

Towards AI faviconTowards AI·
RelatedQwen 3.8
A 27B model in 5.95 GB: where the 1.75 bits go, and what the smallest file costs you
Media

A 27B model in 5.95 GB: where the 1.75 bits go, and what the smallest file costs you

by Miles Builds — PrismML’s ternary Qwen3.8 27B ships as two files. The smaller one is slower, and the model card says why.

Medium faviconMedium·
RelatedQwen 3.8
Qwen3.8-27B as a free Agentic Coder aced 11 of my 12 tasks. Thinking mode tripled the wait
Media

Qwen3.8-27B as a free Agentic Coder aced 11 of my 12 tasks. Thinking mode tripled the wait

Generative AI faviconGenerative AI·
RelatedQwen 3.8
Strate: Run Qwen3.8-Flash-Next 120 tokens/s Just One Gaming RTX GPU
Media

Strate: Run Qwen3.8-Flash-Next 120 tokens/s Just One Gaming RTX GPU

by Andrew Zhu — How a new open-source framework runs a 125-billion-parameter model on a single 12–24 GB gaming card, and the three tricks that make it fast

Medium faviconMedium·
RelatedQwen 3.8
Discussions

What do you think about ToMoE v2 paper, converting dense model to MoE model at near lossless accuracy? I feel Qwen3.8-27B-A16B or something along those lines would be amazing, though there are architectural hurdles, as well as need folr training data.

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedQwen 3.8
I Ran Qwen3.8–27B on My MacBook. Here Are the Real Numbers.
Media

I Ran Qwen3.8–27B on My MacBook. Here Are the Real Numbers.

by Dhirendra Choudhary — It fits in 17GB and loads in 3 seconds. What decides whether it’s usable is a setting most guides skip: how long it thinks.

Medium faviconMedium·
RelatedQwen 3.8
Discussions

Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide

I'm running Qwen 3.8 27B Q4 XS with ~30 t/s decode (no MTP) at 100k context with q8/q5 KV cache on a 16GB AMD GPU. I wanted to share my setup since many believe Qwen 3.8 27B to be infeasible on 16GB...

r/LocalLLaMA faviconr/LocalLLaMA·
Evidence, Not Answers: Why Our VLM Never Made the Final Decision
Media

Evidence, Not Answers: Why Our VLM Never Made the Final Decision

by Eduard Kharaev — Lessons from a production shelf-recognition pipeline built on self-hosted Qwen

Medium faviconMedium·
Discussions

First few days of qwen3.8-flash-next on 4x R9700 - it's been really interesting so far

Here's a metric dashboard giving an idea of the last few days. Been testing with a variety of different agentic coding use-cases, mostly using a pi harness. qwen3.8-flash-next has seriously exceeded...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedQwen 3.8
Discussions

Qwen next 3.8 and 3.8 27b Vs Sonnet 5.5 low and Sonnet 5.5 medium.

Six months ago, a result like this was unthinkable. But now we can say it loud and clear: local models are at the cutting edge, and the gap of just a few months has been confirmed. Personally, I use...

r/LocalLLaMA faviconr/LocalLLaMA·
Is 32 Tokens/Second Good Enough?
Media

Is 32 Tokens/Second Good Enough?

by Rae Henry — Qwen3.8-Flash-Next on Dual R9700s at Q4

Medium faviconMedium·
RelatedQwen 3.8
Discussions

Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models

I started mapping the building blocks shared across all the models in audio.cpp. The result ended up being more interesting than I expected. Qwen has become by far the most common language backbone...

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

GSQ-RCO GGUFs for Qwen3.8-Flash-Next, plus a 50% expert-pruned Coder build at ~1.89 bpw

We have released Qwen3.8-Flash-Next quantized with GSQ and RCO, together with a second, capability-targeted build in which half of the model's experts have been removed. Flash-Next is a sparse...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedQwen 3.8
Research

Alibaba Qwen Releases Qwen-Audio-3.1-Realtime: A Full-Duplex Voice Model Trained to Think, Act, and Decide When to Speak

Alibaba's Qwen team released Qwen-Audio-3.1-Realtime, a full-duplex voice model trained to reason, call tools and decide when to speak. On a τ-Voice adaptation, task success rises to 82.0% from...

Marktechpost faviconMarktechpost·
Alibaba Unveils Qwen Intelligence Full Stack for Agentic AI Smartphones
Media

Alibaba Unveils Qwen Intelligence Full Stack for Agentic AI Smartphones

thelec.net faviconthelec.net·
Media

Qwen Agent Retrains Itself, Leaks 3 of 6 Secrets [2026]

shattered.io faviconshattered.io·
Media

How to Make Your Own JEV Model from an Open LLM

by Anubhab Banerjee — Turn a small open-source Qwen LLM into a fast, single-pass text classifier by swapping its language-modeling head The post How to Make Your Own JEV Model from an Open LLM appeared first on Towards...

Towards Data Science faviconTowards Data Science·

Frequently Asked Questions

What is qwen?

qwen is a trending topic in artificial intelligence. Best AI News Today aggregates the latest news and developments about qwen from over 30 sources including research papers, tech publications, and community discussions.

What are the latest news about qwen?

As of today, there are 283 recent stories about qwen. Recent headlines include: Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test; I Ran Qwen3.8–27B on My MacBook. Here Are the Real Numbers.; Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models. This page is updated every 15 minutes with the latest coverage.

Where can I find qwen discussions?

You can find qwen discussions on Reddit AI communities, Hacker News, and other tech forums. Best AI News Today aggregates discussions from these platforms alongside research publications and tech media coverage.